{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\MvdWardt\Desktop\Replication adapt or perish\supplementary appendix.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 1 Mar 2019, 13:23:25
{txt}
{com}. 
. use "C:\Users\MvdWardt\Desktop\Replication adapt or perish\replication data.dta", clear
{txt}
{com}. 
. set more off
{txt}
{com}. 
. gen yline=0
{txt}
{com}. 
. ***Description of variables used for analyses presented in manuscript
. label var country "Country name"
{txt}
{com}. label var ccode "Country code"
{txt}
{com}. label var elec_year "Election year (Parlgov.org)"
{txt}
{com}. label var elec_month "Election month (Parlgov.org)"
{txt}
{com}. label var party_id "Party identifier (Parlgov.org)"
{txt}
{com}. label var party_name_english "Party name (Parlgov.org)"
{txt}
{com}. label var index "Election counter"
{txt}
{com}. label var pss "Party system saturation t (Based on residuals of Model 2, Table 2 of van de Wardt(2017)"
{txt}note: label truncated to 80 characters

{com}. label var nicheness "Nicheness of party program t (Formula after Meyer and Wagner (2013) but based on issue classification scheme of Stoll (2011), https://homepage.univie.ac.at/markus.wagner/Meyer_Wagner_CPS_suppmat.pdf"
{txt}note: label truncated to 80 characters

{com}. label var niche_party_previous "Niche party program at t-1 (Formula after Meyer and Wagner (2013) but based on issue classification scheme of Stoll (2011), https://homepage.univie.ac.at/markus.wagner/Meyer_Wagner_CPS_suppmat.pdf"
{txt}note: label truncated to 80 characters

{com}. label var niche_party "Niche party program at t (Formula after Meyer and Wagner (2013) but based on issue classification scheme of Stoll (2011), https://homepage.univie.ac.at/markus.wagner/Meyer_Wagner_CPS_suppmat.pdf"
{txt}note: label truncated to 80 characters

{com}. label var vote_loss "Vote loss between t-1 and t-2 (data from Parlgov.org)"
{txt}
{com}. label var vote_share "Vote share obtained in election t (Parlgov.org)"
{txt}
{com}. label var party_age "Party age (based on party founding data from Parlgov.org)"
{txt}
{com}. label var opposition "Opposition/government status resulting from election t (Parlgov.org)"
{txt}
{com}. label var lopposition "Opposition/government status resulting from  election t-1 (based on data from Parlgov.org)"
{txt}note: label truncated to 80 characters

{com}. label var leaderdom "Dominance of party leadership (Giger and Schumacher 2015)" 
{txt}
{com}. label var inalliance "In alliance t (Parlgov.org)"
{txt}
{com}. label var linalliance "In alliance t-1 (based on data from Parlgov.org)"
{txt}
{com}. label var advantager "Advantage ratio resulting from election t (based on data from Parlgov.org)"
{txt}
{com}. label var lr_extremity  "Extremity of left-right position t (based on Rile score of Comparative Manifesto Project"
{txt}note: label truncated to 80 characters

{com}. label var norepres "No parliamentary representation gained in election t-1 (based on data from Parlgov.org plus additional data collected by author)"
{txt}note: label truncated to 80 characters

{com}. label var norepres2 "No parliamentary representation gained in election t (based on data from Parlgov.org plus additional data collected by author)"
{txt}note: label truncated to 80 characters

{com}. label var office_exp "Experience in government including result of election t (based on data from Parlgov.org)"
{txt}note: label truncated to 80 characters

{com}. label var alliance_exp "Alliance experience including result of election t (based on data from Parlgov.org)"
{txt}note: label truncated to 80 characters

{com}. label var totparlparties "Total number of parliamentary parties resulting from election t (based on data from Parlgov.org)"
{txt}note: label truncated to 80 characters

{com}. label var merger "Party merges after election t (based on data from Parlgov.org plus additional data collected by own research assistant)"
{txt}note: label truncated to 80 characters

{com}. label var reg_cost "Registration costs t (Tavits 2006)"
{txt}
{com}. label var party_fin "Party financing t (Tavits 2006)"
{txt}
{com}. label var ln_petit "Petition (logged) t (Tavits 2006)"
{txt}
{com}. label var decade "Decade of election"
{txt}
{com}. label var elec_year_parl2 "Last election observed in the dataset by country"
{txt}
{com}. 
. ***Description of additional variables used for analyses presented in supplementary appendix
. label var pss_mod3 "Party system saturation t (Based on residuals from Model 3, Table 2 of van de Wardt(2017)"
{txt}note: label truncated to 80 characters

{com}. label var pss_cg "Party system saturation t (based on residuals from Table 2, Model established democracies of Clark and Golder (2006)"
{txt}note: label truncated to 80 characters

{com}. label var cdiv "Cultural fractionalization t (Fearon 2003)"
{txt}
{com}. label var LogMedian "Logged Median District Magnitude t (Carey and Hix 2011 with own additions for recent elections)"
{txt}note: label truncated to 80 characters

{com}. label var nicheness_bischof "Nicheness of party program t (Bischof 2017)"
{txt}
{com}. label var nicheness_meymil "Nicheness of party program t (Formula after Meyer & Miller (2013) but based on issue classification scheme of Stoll (2011))"
{txt}note: label truncated to 80 characters

{com}. label var niche_party_previous_meymill "Niche party program at t-1 (1 if party was one sd above the mean score of its competitors on nicheness_meymil at t-1)"
{txt}note: label truncated to 80 characters

{com}. label var niche_party_previous_bischof "Niche party program at t-1 (1 if party was one sd above the mean score of its competitors on nicheness_bischof at t-1)"
{txt}note: label truncated to 80 characters

{com}. label var nicheness_previous "Nicheness compared to competitors' programs at t-1"
{txt}
{com}. label var morecohesiveshiftdummy "Shift towards clearer platform (Lo et al 2016)"
{txt}
{com}. label var niche_party_meguid "Niche party t (based on party family data from Parlgov.org)"
{txt}
{com}. label var enep "Effective number of electoral parties t (Bormann and Golder 2013, Version 2.0)"
{txt}
{com}. 
. tsset party_id index
{res}{txt}{col 8}panel variable:  {res}party_id (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}index, 1 to 27
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. 
. **Replicate Table A1
. 
. preserve
{txt}
{com}. 
. drop if pss==.
{txt}(894 observations deleted)

{com}. 
. keep nicheness inalliance merger pss party_age leaderdom vote_share advantager office_exp alliance_exp lr_extremity totparlparties reg_cost  ln_petit vote_loss opposition norepres party_fin niche_party
{txt}
{com}. 
. capture outreg2 using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA1.xls", replace dec(3) sum(log) keep(nicheness inalliance merger pss party_age leaderdom vote_share advantager office_exp alliance_exp lr_extremity totparlparties reg_cost  ln_petit vote_loss opposition norepres party_fin niche_party)
{txt}
{com}. 
. restore
{txt}
{com}. 
. **Replicate Table A3
. 
. preserve
{txt}
{com}. 
. drop if pss==.
{txt}(894 observations deleted)

{com}. 
. keep if merger==1
{txt}(3,239 observations deleted)

{com}. keep pss party_age norepres2 opposition office_exp alliance_exp vote_share
{txt}
{com}. capture outreg2 using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA3.xls", replace dec(3) sum(log) keep(pss party_age norepres2 opposition office_exp alliance_exp vote_share)
{txt}
{com}. 
. restore
{txt}
{com}. 
. **Replicate Table A4 & Figure A1
. 
. xtmelogit inalliance c.l.pss##c.party_age norepres lopposition l.office_exp l.alliance_exp l.totparlparties if linalliance==1 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-120.12101}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-118.81273}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-118.67707}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-118.67707}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-118.67641}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-118.67641}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       312
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       14

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      22.3
{txt}{col 63}max{col 67}={col 69}{res}        73

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}8{txt}){col 67}={col 70}{res}    22.50
{txt}Log likelihood = {res}-118.67641{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0041

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        inalliance{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .5082222{col 32}{space 2} .1996479{col 43}{space 1}    2.55{col 52}{space 3}0.011{col 60}{space 4} .1169196{col 73}{space 3} .8995249
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2} .0057397{col 32}{space 2} .0067551{col 43}{space 1}    0.85{col 52}{space 3}0.396{col 60}{space 4}-.0075001{col 73}{space 3} .0189795
{txt}{space 18} {c |}
cL.pss#c.party_age {c |}{col 20}{res}{space 2} .0008718{col 32}{space 2} .0035303{col 43}{space 1}    0.25{col 52}{space 3}0.805{col 60}{space 4}-.0060475{col 73}{space 3} .0077911
{txt}{space 18} {c |}
{space 10}norepres {c |}{col 20}{res}{space 2}-.6955448{col 32}{space 2} .6273729{col 43}{space 1}   -1.11{col 52}{space 3}0.268{col 60}{space 4}-1.925173{col 73}{space 3} .5340836
{txt}{space 7}lopposition {c |}{col 20}{res}{space 2}-.3310565{col 32}{space 2} .5978531{col 43}{space 1}   -0.55{col 52}{space 3}0.580{col 60}{space 4}-1.502827{col 73}{space 3} .8407142
{txt}{space 18} {c |}
{space 8}office_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.3011494{col 32}{space 2} .8260944{col 43}{space 1}   -0.36{col 52}{space 3}0.715{col 60}{space 4}-1.920265{col 73}{space 3} 1.317966
{txt}{space 18} {c |}
{space 6}alliance_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} 2.066231{col 32}{space 2} .6896279{col 43}{space 1}    3.00{col 52}{space 3}0.003{col 60}{space 4} .7145855{col 73}{space 3} 3.417877
{txt}{space 18} {c |}
{space 4}totparlparties {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.1399749{col 32}{space 2} .0779409{col 43}{space 1}   -1.80{col 52}{space 3}0.073{col 60}{space 4}-.2927362{col 73}{space 3} .0127864
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} 1.020501{col 32}{space 2} 1.134302{col 43}{space 1}    0.90{col 52}{space 3}0.368{col 60}{space 4} -1.20269{col 73}{space 3} 3.243692
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .9835888{col 44} .8527927{col 58} .1798057{col 70} 5.380513
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}3.42{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0321
{txt}
{com}. est store mod1
{txt}
{com}. 
. margins, dydx(L.pss) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       312

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2col:58._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}57}{p_end}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(3,881 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(4,011 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##c.leaderdom norepres lopposition l.office_exp l.alliance_exp l.totparlparties party_age if linalliance==1 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-45.997152}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-45.258169}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-44.731362}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-44.731362}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-44.520732}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-44.519934}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-44.519933}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       158
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       11

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      14.4
{txt}{col 63}max{col 67}={col 69}{res}        52

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}    28.47
{txt}Log likelihood = {res}-44.519933{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0008

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        inalliance{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} 2.021194{col 32}{space 2} 1.139222{col 43}{space 1}    1.77{col 52}{space 3}0.076{col 60}{space 4}-.2116403{col 73}{space 3} 4.254028
{txt}{space 18} {c |}
{space 9}leaderdom {c |}{col 20}{res}{space 2}-.0085644{col 32}{space 2} .0593018{col 43}{space 1}   -0.14{col 52}{space 3}0.885{col 60}{space 4}-.1247938{col 73}{space 3} .1076651
{txt}{space 18} {c |}
cL.pss#c.leaderdom {c |}{col 20}{res}{space 2}-.0593268{col 32}{space 2} .0519698{col 43}{space 1}   -1.14{col 52}{space 3}0.254{col 60}{space 4}-.1611857{col 73}{space 3}  .042532
{txt}{space 18} {c |}
{space 10}norepres {c |}{col 20}{res}{space 2} .6587761{col 32}{space 2} 1.467971{col 43}{space 1}    0.45{col 52}{space 3}0.654{col 60}{space 4}-2.218395{col 73}{space 3} 3.535947
{txt}{space 7}lopposition {c |}{col 20}{res}{space 2}-.7437276{col 32}{space 2} .8097179{col 43}{space 1}   -0.92{col 52}{space 3}0.358{col 60}{space 4}-2.330746{col 73}{space 3} .8432904
{txt}{space 18} {c |}
{space 8}office_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-1.350262{col 32}{space 2} 1.088317{col 43}{space 1}   -1.24{col 52}{space 3}0.215{col 60}{space 4}-3.483325{col 73}{space 3} .7828008
{txt}{space 18} {c |}
{space 6}alliance_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} 4.432207{col 32}{space 2} 1.205427{col 43}{space 1}    3.68{col 52}{space 3}0.000{col 60}{space 4} 2.069614{col 73}{space 3} 6.794801
{txt}{space 18} {c |}
{space 4}totparlparties {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.2380081{col 32}{space 2} .1294655{col 43}{space 1}   -1.84{col 52}{space 3}0.066{col 60}{space 4}-.4917558{col 73}{space 3} .0157395
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2} .0096162{col 32}{space 2} .0100129{col 43}{space 1}    0.96{col 52}{space 3}0.337{col 60}{space 4}-.0100087{col 73}{space 3} .0292412
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  .557513{col 32}{space 2} 2.192103{col 43}{space 1}    0.25{col 52}{space 3}0.799{col 60}{space 4} -3.73893{col 73}{space 3} 4.853956
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 7.00e-14{col 44} 3.07e-07{col 58}        0{col 70}        .
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}0.00{col 55}{txt}Prob >= chibar2 = {col 73}{res}1.0000
{txt}
{com}. est store mod2
{txt}
{com}. 
. margins, dydx(L.pss) at(leaderdom=(0(1)30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       158

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.021194{col 26}{space 2} 1.139222{col 37}{space 1}    1.77{col 46}{space 3}0.076{col 54}{space 4}-.2116403{col 67}{space 3} 4.254028
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.961867{col 26}{space 2} 1.088831{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.1722025{col 67}{space 3} 4.095937
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  1.90254{col 26}{space 2} 1.038596{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4}-.1330697{col 67}{space 3}  3.93815
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.843214{col 26}{space 2} .9885396{col 37}{space 1}    1.86{col 46}{space 3}0.062{col 54}{space 4}-.0942883{col 67}{space 3} 3.780716
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.783887{col 26}{space 2} .9386915{col 37}{space 1}    1.90{col 46}{space 3}0.057{col 54}{space 4}-.0559147{col 67}{space 3} 3.623688
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  1.72456{col 26}{space 2} .8890864{col 37}{space 1}    1.94{col 46}{space 3}0.052{col 54}{space 4}-.0180174{col 67}{space 3} 3.467137
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 1.665233{col 26}{space 2} .8397674{col 37}{space 1}    1.98{col 46}{space 3}0.047{col 54}{space 4} .0193193{col 67}{space 3} 3.311147
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 1.605906{col 26}{space 2}  .790788{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0559903{col 67}{space 3} 3.155822
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 1.546579{col 26}{space 2} .7422154{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4}  .091864{col 67}{space 3} 3.001295
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 1.487253{col 26}{space 2} .6941351{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .1267729{col 67}{space 3} 2.847732
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 1.427926{col 26}{space 2} .6466568{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .1605018{col 67}{space 3}  2.69535
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 1.368599{col 26}{space 2} .5999235{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .1927705{col 67}{space 3} 2.544428
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 1.309272{col 26}{space 2} .5541238{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .2232096{col 67}{space 3} 2.395335
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 1.249945{col 26}{space 2} .5095094{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .2513254{col 67}{space 3} 2.248565
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 1.190619{col 26}{space 2} .4664205{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .2764511{col 67}{space 3} 2.104786
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 1.131292{col 26}{space 2} .4253213{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .2976774{col 67}{space 3} 1.964906
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 1.071965{col 26}{space 2} .3868462{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .3137604{col 67}{space 3} 1.830169
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 1.012638{col 26}{space 2} .3518571{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .3230108{col 67}{space 3} 1.702265
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .9533113{col 26}{space 2} .3214943{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .3231939{col 67}{space 3} 1.583429
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .8939844{col 26}{space 2} .2971792{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .3115238{col 67}{space 3} 1.476445
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .8346576{col 26}{space 2} .2804891{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .2849092{col 67}{space 3} 1.384406
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .7753308{col 26}{space 2} .2728267{col 37}{space 1}    2.84{col 46}{space 3}0.004{col 54}{space 4} .2406002{col 67}{space 3} 1.310061
{txt}{space 9}23  {c |}{col 14}{res}{space 2}  .716004{col 26}{space 2} .2749481{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .1771156{col 67}{space 3} 1.254892
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .6566772{col 26}{space 2}  .286636{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4} .0948809{col 67}{space 3} 1.218473
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .5973503{col 26}{space 2} .3067991{col 37}{space 1}    1.95{col 46}{space 3}0.052{col 54}{space 4}-.0039647{col 67}{space 3} 1.198665
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .5380235{col 26}{space 2} .3339054{col 37}{space 1}    1.61{col 46}{space 3}0.107{col 54}{space 4} -.116419{col 67}{space 3} 1.192466
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .4786967{col 26}{space 2} .3664174{col 37}{space 1}    1.31{col 46}{space 3}0.191{col 54}{space 4}-.2394682{col 67}{space 3} 1.196862
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .4193699{col 26}{space 2} .4030289{col 37}{space 1}    1.04{col 46}{space 3}0.298{col 54}{space 4}-.3705522{col 67}{space 3} 1.209292
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .3600431{col 26}{space 2}  .442724{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.5076801{col 67}{space 3} 1.227766
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .3007162{col 26}{space 2} .4847459{col 37}{space 1}    0.62{col 46}{space 3}0.535{col 54}{space 4}-.6493683{col 67}{space 3} 1.250801
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .2413894{col 26}{space 2} .5285398{col 37}{space 1}    0.46{col 46}{space 3}0.648{col 54}{space 4}-.7945295{col 67}{space 3} 1.277308
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(4,035 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 30 31
{txt}(4,162 missing values generated)

{com}. 
. twoway hist leaderdom if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Leader dominance",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##c.l.vote_share norepres lopposition l.office_exp l.alliance_exp l.totparlparties party_age  if linalliance==1 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-35.757737}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-35.573445}  (not concave)
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-35.525498}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-35.525498}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -35.51425}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-35.512509}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-35.512503}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-35.512503}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       154
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}        9

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      17.1
{txt}{col 63}max{col 67}={col 69}{res}        61

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}    17.87
{txt}Log likelihood = {res}-35.512503{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0368

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          inalliance{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}pss {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .1752988{col 34}{space 2} .5935115{col 45}{space 1}    0.30{col 54}{space 3}0.768{col 62}{space 4}-.9879624{col 75}{space 3}  1.33856
{txt}{space 20} {c |}
{space 10}vote_share {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0250872{col 34}{space 2}  .040821{col 45}{space 1}    0.61{col 54}{space 3}0.539{col 62}{space 4}-.0549204{col 75}{space 3} .1050949
{txt}{space 20} {c |}
cL.pss#cL.vote_share {c |}{col 22}{res}{space 2} .0767082{col 34}{space 2} .0672545{col 45}{space 1}    1.14{col 54}{space 3}0.254{col 62}{space 4}-.0551082{col 75}{space 3} .2085246
{txt}{space 20} {c |}
{space 12}norepres {c |}{col 22}{res}{space 2}-.3470978{col 34}{space 2} 1.077813{col 45}{space 1}   -0.32{col 54}{space 3}0.747{col 62}{space 4}-2.459573{col 75}{space 3} 1.765377
{txt}{space 9}lopposition {c |}{col 22}{res}{space 2}-.8526133{col 34}{space 2} 1.026738{col 45}{space 1}   -0.83{col 54}{space 3}0.406{col 62}{space 4}-2.864983{col 75}{space 3} 1.159757
{txt}{space 20} {c |}
{space 10}office_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} 1.618205{col 34}{space 2} 1.497756{col 45}{space 1}    1.08{col 54}{space 3}0.280{col 62}{space 4}-1.317343{col 75}{space 3} 4.553752
{txt}{space 20} {c |}
{space 8}alliance_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}    1.615{col 34}{space 2} 1.290139{col 45}{space 1}    1.25{col 54}{space 3}0.211{col 62}{space 4}-.9136263{col 75}{space 3} 4.143627
{txt}{space 20} {c |}
{space 6}totparlparties {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.2075566{col 34}{space 2} .1229182{col 45}{space 1}   -1.69{col 54}{space 3}0.091{col 62}{space 4}-.4484718{col 75}{space 3} .0333586
{txt}{space 20} {c |}
{space 11}party_age {c |}{col 22}{res}{space 2} .0046299{col 34}{space 2} .0136373{col 45}{space 1}    0.34{col 54}{space 3}0.734{col 62}{space 4}-.0220987{col 75}{space 3} .0313585
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  1.67751{col 34}{space 2} 1.956571{col 45}{space 1}    0.86{col 54}{space 3}0.391{col 62}{space 4}-2.157299{col 75}{space 3}  5.51232
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.39e-19{col 44} 8.02e-10{col 58}        0{col 70}        .
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}0.00{col 55}{txt}Prob >= chibar2 = {col 73}{res}1.0000
{txt}
{com}. est store mod3
{txt}
{com}. 
. margins, dydx(L.pss) at(L.vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       154

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
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{res}L.pss        {txt}{c |}
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{txt}{space 9}47  {c |}{col 14}{res}{space 2} 3.703877{col 26}{space 2} 2.846078{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-1.874334{col 67}{space 3} 9.282088
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 3.780585{col 26}{space 2} 2.912247{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-1.927314{col 67}{space 3} 9.488484
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 3.857293{col 26}{space 2} 2.978464{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4} -1.98039{col 67}{space 3} 9.694976
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 3.934002{col 26}{space 2} 3.044727{col 37}{space 1}    1.29{col 46}{space 3}0.196{col 54}{space 4}-2.033554{col 67}{space 3} 9.901557
{txt}{space 9}51  {c |}{col 14}{res}{space 2}  4.01071{col 26}{space 2} 3.111033{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-2.086802{col 67}{space 3} 10.10822
{txt}{space 9}52  {c |}{col 14}{res}{space 2} 4.087418{col 26}{space 2} 3.177378{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-2.140129{col 67}{space 3} 10.31496
{txt}{space 9}53  {c |}{col 14}{res}{space 2} 4.164126{col 26}{space 2} 3.243761{col 37}{space 1}    1.28{col 46}{space 3}0.199{col 54}{space 4}-2.193528{col 67}{space 3} 10.52178
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 4.240835{col 26}{space 2} 3.310179{col 37}{space 1}    1.28{col 46}{space 3}0.200{col 54}{space 4}-2.246997{col 67}{space 3} 10.72867
{txt}{space 9}55  {c |}{col 14}{res}{space 2} 4.317543{col 26}{space 2}  3.37663{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4} -2.30053{col 67}{space 3} 10.93562
{txt}{space 9}56  {c |}{col 14}{res}{space 2} 4.394251{col 26}{space 2} 3.443112{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4}-2.354125{col 67}{space 3} 11.14263
{txt}{space 9}57  {c |}{col 14}{res}{space 2} 4.470959{col 26}{space 2} 3.509624{col 37}{space 1}    1.27{col 46}{space 3}0.203{col 54}{space 4}-2.407778{col 67}{space 3}  11.3497
{txt}{space 9}58  {c |}{col 14}{res}{space 2} 4.547667{col 26}{space 2} 3.576164{col 37}{space 1}    1.27{col 46}{space 3}0.203{col 54}{space 4}-2.461484{col 67}{space 3} 11.55682
{txt}{space 9}59  {c |}{col 14}{res}{space 2} 4.624376{col 26}{space 2} 3.642729{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4}-2.515243{col 67}{space 3} 11.76399
{txt}{space 9}60  {c |}{col 14}{res}{space 2} 4.701084{col 26}{space 2}  3.70932{col 37}{space 1}    1.27{col 46}{space 3}0.205{col 54}{space 4} -2.56905{col 67}{space 3} 11.97122
{txt}{space 9}61  {c |}{col 14}{res}{space 2} 4.777792{col 26}{space 2} 3.775934{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4}-2.622903{col 67}{space 3} 12.17849
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(4,039 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(4,132 missing values generated)

{com}. 
. gen lsize=l.vote_share
{txt}(1,040 missing values generated)

{com}. twoway hist lsize if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size t-1",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(c, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##i.lopposition norepres  l.office_exp l.alliance_exp l.totparlparties party_age  if linalliance==1 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-119.03801}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-117.72188}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-117.58746}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-117.58746}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-117.58688}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-117.58688}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       312
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       14

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      22.3
{txt}{col 63}max{col 67}={col 69}{res}        73

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}8{txt}){col 67}={col 70}{res}    23.01
{txt}Log likelihood = {res}-117.58688{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0034

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        inalliance{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .9010349{col 32}{space 2} .3148204{col 43}{space 1}    2.86{col 52}{space 3}0.004{col 60}{space 4} .2839983{col 73}{space 3} 1.518072
{txt}{space 18} {c |}
{space 7}lopposition {c |}
{space 3}Opposition t-1  {c |}{col 20}{res}{space 2} .1290645{col 32}{space 2} .6562822{col 43}{space 1}    0.20{col 52}{space 3}0.844{col 60}{space 4}-1.157225{col 73}{space 3} 1.415354
{txt}{space 18} {c |}
lopposition#cL.pss {c |}
{space 3}Opposition t-1  {c |}{col 20}{res}{space 2}-.4330467{col 32}{space 2} .3026911{col 43}{space 1}   -1.43{col 52}{space 3}0.153{col 60}{space 4} -1.02631{col 73}{space 3}  .160217
{txt}{space 18} {c |}
{space 10}norepres {c |}{col 20}{res}{space 2}-.6929403{col 32}{space 2} .6264119{col 43}{space 1}   -1.11{col 52}{space 3}0.269{col 60}{space 4}-1.920685{col 73}{space 3} .5348044
{txt}{space 18} {c |}
{space 8}office_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.2229876{col 32}{space 2} .8340985{col 43}{space 1}   -0.27{col 52}{space 3}0.789{col 60}{space 4}-1.857791{col 73}{space 3} 1.411815
{txt}{space 18} {c |}
{space 6}alliance_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} 2.009947{col 32}{space 2} .6869212{col 43}{space 1}    2.93{col 52}{space 3}0.003{col 60}{space 4} .6636065{col 73}{space 3} 3.356288
{txt}{space 18} {c |}
{space 4}totparlparties {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} -.150013{col 32}{space 2} .0789339{col 43}{space 1}   -1.90{col 52}{space 3}0.057{col 60}{space 4}-.3047207{col 73}{space 3} .0046946
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2} .0063808{col 32}{space 2} .0065782{col 43}{space 1}    0.97{col 52}{space 3}0.332{col 60}{space 4}-.0065123{col 73}{space 3} .0192738
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .6978638{col 32}{space 2} 1.169282{col 43}{space 1}    0.60{col 52}{space 3}0.551{col 60}{space 4}-1.593886{col 73}{space 3} 2.989614
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .9769699{col 44} .8433705{col 58} .1799204{col 70} 5.304958
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}3.46{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0313
{txt}
{com}. est store mod4
{txt}
{com}. 
. margins, dydx(L.pss) at(lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       312

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .9010349{col 26}{space 2} .3148204{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} .2839983{col 67}{space 3} 1.518072
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4679882{col 26}{space 2} .1691614{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4}  .136438{col 67}{space 3} .7995385
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA1.wmf", replace
{txt}
{com}. capture esttab  mod1 mod2 mod3 mod4,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA4.csv", replace
{txt}
{com}. 
. 
. **Replicate Figure A5
. 
. xtmixed nicheness c.l.pss_mod3##i.niche_party_previous vote_loss l.vote_share party_age lopposition i.decade || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1704.2302}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-1704.2302}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       707
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       161

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       4.4
{txt}{col 63}max{col 67}={col 69}{res}        13

{col 49}{txt}Wald chi2({res}10{txt}){col 67}={col 70}{res}    63.32
{txt}Log likelihood = {res}-1704.2302{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       nicheness{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      z{col 66}   P>|z|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}pss_mod3 {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}-.1794692{col 46}{space 2} .1089282{col 57}{space 1}   -1.65{col 66}{space 3}0.099{col 74}{space 4}-.3929646{col 87}{space 3} .0340262
{txt}{space 32} {c |}
{space 12}niche_party_previous {c |}
{space 25}NP t-1  {c |}{col 34}{res}{space 2} .8509415{col 46}{space 2}  .297398{col 57}{space 1}    2.86{col 66}{space 3}0.004{col 74}{space 4} .2680521{col 87}{space 3} 1.433831
{txt}{space 32} {c |}
niche_party_previous#cL.pss_mod3 {c |}
{space 25}NP t-1  {c |}{col 34}{res}{space 2}-.0273799{col 46}{space 2} .2118641{col 57}{space 1}   -0.13{col 66}{space 3}0.897{col 74}{space 4} -.442626{col 87}{space 3} .3878662
{txt}{space 32} {c |}
{space 23}vote_loss {c |}{col 34}{res}{space 2}-.0174797{col 46}{space 2} .0240772{col 57}{space 1}   -0.73{col 66}{space 3}0.468{col 74}{space 4}-.0646702{col 87}{space 3} .0297108
{txt}{space 32} {c |}
{space 22}vote_share {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}-.0591414{col 46}{space 2} .0138891{col 57}{space 1}   -4.26{col 66}{space 3}0.000{col 74}{space 4}-.0863636{col 87}{space 3}-.0319192
{txt}{space 32} {c |}
{space 23}party_age {c |}{col 34}{res}{space 2}-.0129262{col 46}{space 2} .0047974{col 57}{space 1}   -2.69{col 66}{space 3}0.007{col 74}{space 4}-.0223289{col 87}{space 3}-.0035236
{txt}{space 21}lopposition {c |}{col 34}{res}{space 2} .1315856{col 46}{space 2} .2385561{col 57}{space 1}    0.55{col 66}{space 3}0.581{col 74}{space 4}-.3359759{col 87}{space 3}  .599147
{txt}{space 32} {c |}
{space 26}decade {c |}
{space 22}1980-1989  {c |}{col 34}{res}{space 2}-.3813401{col 46}{space 2}  .395079{col 57}{space 1}   -0.97{col 66}{space 3}0.334{col 74}{space 4}-1.155681{col 87}{space 3} .3930004
{txt}{space 22}1990-1999  {c |}{col 34}{res}{space 2}-.3029307{col 46}{space 2} .4143507{col 57}{space 1}   -0.73{col 66}{space 3}0.465{col 74}{space 4}-1.115043{col 87}{space 3} .5091817
{txt}{space 19}2000 onwards  {c |}{col 34}{res}{space 2} .2711957{col 46}{space 2} .4127343{col 57}{space 1}    0.66{col 66}{space 3}0.511{col 74}{space 4}-.5377487{col 87}{space 3}  1.08014
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 3.698019{col 46}{space 2} .4946142{col 57}{space 1}    7.48{col 66}{space 3}0.000{col 74}{space 4} 2.728593{col 87}{space 3} 4.667445
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.960229{col 44} .5607893{col 58}  2.04208{col 70} 4.291192
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 5.687587{col 44} .3472377{col 58} 5.046155{col 70} 6.410552
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}109.86{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(niche_party_previous=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       707

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1794692{col 26}{space 2} .1089282{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-.3929646{col 67}{space 3} .0340262
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2068491{col 26}{space 2} .2062015{col 37}{space 1}   -1.00{col 46}{space 3}0.316{col 54}{space 4}-.6109966{col 67}{space 3} .1972984
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss_mod3##i.niche_party_previous##c.party_age  vote_loss l.vote_share lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -1702.872}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -1702.872}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       707
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       161

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       4.4
{txt}{col 63}max{col 67}={col 69}{res}        13

{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}    66.60
{txt}Log likelihood = {res} -1702.872{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 45}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                   nicheness{col 46}{c |}      Coef.{col 58}   Std. Err.{col 70}      z{col 78}   P>|z|{col 86}     [95% Con{col 99}f. Interval]
{hline 45}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss_mod3 {c |}
{space 41}L1. {c |}{col 46}{res}{space 2}-.2595069{col 58}{space 2}  .167138{col 69}{space 1}   -1.55{col 78}{space 3}0.121{col 86}{space 4}-.5870914{col 99}{space 3} .0680776
{txt}{space 44} {c |}
{space 24}niche_party_previous {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2} 1.396491{col 58}{space 2} .4761118{col 69}{space 1}    2.93{col 78}{space 3}0.003{col 86}{space 4} .4633285{col 99}{space 3} 2.329653
{txt}{space 44} {c |}
{space 12}niche_party_previous#cL.pss_mod3 {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2} .0864801{col 58}{space 2} .3434952{col 69}{space 1}    0.25{col 78}{space 3}0.801{col 86}{space 4} -.586758{col 99}{space 3} .7597183
{txt}{space 44} {c |}
{space 35}party_age {c |}{col 46}{res}{space 2}-.0109767{col 58}{space 2} .0049407{col 69}{space 1}   -2.22{col 78}{space 3}0.026{col 86}{space 4}-.0206604{col 99}{space 3}-.0012931
{txt}{space 44} {c |}
{space 21}cL.pss_mod3#c.party_age {c |}{col 46}{res}{space 2} .0020284{col 58}{space 2} .0030584{col 69}{space 1}    0.66{col 78}{space 3}0.507{col 86}{space 4}-.0039658{col 99}{space 3} .0080227
{txt}{space 44} {c |}
{space 12}niche_party_previous#c.party_age {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2}-.0109264{col 58}{space 2} .0071989{col 69}{space 1}   -1.52{col 78}{space 3}0.129{col 86}{space 4} -.025036{col 99}{space 3} .0031832
{txt}{space 44} {c |}
niche_party_previous#cL.pss_mod3#c.party_age {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2}-.0036318{col 58}{space 2} .0065537{col 69}{space 1}   -0.55{col 78}{space 3}0.579{col 86}{space 4}-.0164767{col 99}{space 3} .0092132
{txt}{space 44} {c |}
{space 35}vote_loss {c |}{col 46}{res}{space 2}  -.02025{col 58}{space 2}  .024159{col 69}{space 1}   -0.84{col 78}{space 3}0.402{col 86}{space 4}-.0676009{col 99}{space 3} .0271008
{txt}{space 44} {c |}
{space 34}vote_share {c |}
{space 41}L1. {c |}{col 46}{res}{space 2}-.0587849{col 58}{space 2} .0138841{col 69}{space 1}   -4.23{col 78}{space 3}0.000{col 86}{space 4}-.0859972{col 99}{space 3}-.0315725
{txt}{space 44} {c |}
{space 33}lopposition {c |}{col 46}{res}{space 2} .1109687{col 58}{space 2} .2391025{col 69}{space 1}    0.46{col 78}{space 3}0.643{col 86}{space 4}-.3576635{col 99}{space 3} .5796009
{txt}{space 44} {c |}
{space 38}decade {c |}
{space 34}1980-1989  {c |}{col 46}{res}{space 2}-.4020057{col 58}{space 2} .3952136{col 69}{space 1}   -1.02{col 78}{space 3}0.309{col 86}{space 4} -1.17661{col 99}{space 3} .3725986
{txt}{space 34}1990-1999  {c |}{col 46}{res}{space 2}-.3319044{col 58}{space 2} .4140118{col 69}{space 1}   -0.80{col 78}{space 3}0.423{col 86}{space 4}-1.143353{col 99}{space 3} .4795438
{txt}{space 31}2000 onwards  {c |}{col 46}{res}{space 2}  .233119{col 58}{space 2} .4125823{col 69}{space 1}    0.57{col 78}{space 3}0.572{col 86}{space 4}-.5755275{col 99}{space 3} 1.041766
{txt}{space 44} {c |}
{space 39}_cons {c |}{col 46}{res}{space 2} 3.627747{col 58}{space 2} .4959384{col 69}{space 1}    7.31{col 78}{space 3}0.000{col 86}{space 4} 2.655725{col 99}{space 3} 4.599768
{txt}{hline 45}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.928477{col 44} .5587041{col 58}  2.01487{col 70} 4.256345
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 5.672253{col 44} .3466788{col 58} 5.031895{col 70} 6.394103
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}108.26{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(niche_party_previous=(0 1) party_age=(1 25 50 75)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       707

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2574784{col 26}{space 2} .1648277{col 37}{space 1}   -1.56{col 46}{space 3}0.118{col 54}{space 4}-.5805349{col 67}{space 3}  .065578
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2087957{col 26}{space 2} .1198912{col 37}{space 1}   -1.74{col 46}{space 3}0.082{col 54}{space 4}-.4437781{col 67}{space 3} .0261867
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1580846{col 26}{space 2} .1118238{col 37}{space 1}   -1.41{col 46}{space 3}0.157{col 54}{space 4}-.3772553{col 67}{space 3} .0610861
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1073734{col 26}{space 2} .1494227{col 37}{space 1}   -0.72{col 46}{space 3}0.472{col 54}{space 4}-.4002366{col 67}{space 3} .1854897
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  -.17463{col 26}{space 2} .3280317{col 37}{space 1}   -0.53{col 46}{space 3}0.594{col 54}{space 4}-.8175602{col 67}{space 3} .4683002
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2131095{col 26}{space 2} .2298631{col 37}{space 1}   -0.93{col 46}{space 3}0.354{col 54}{space 4}-.6636328{col 67}{space 3} .2374138
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.2531922{col 26}{space 2} .2157268{col 37}{space 1}   -1.17{col 46}{space 3}0.241{col 54}{space 4} -.676009{col 67}{space 3} .1696245
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.293275{col 26}{space 2} .3033572{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.8878441{col 67}{space 3} .3012942
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "party_age=1" 6 "party_age=25" 7 "party_age=50" 8 "party_age=75")) ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous party_age{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss_mod3##i.niche_party_previous##c.leaderdom  vote_loss l.vote_share party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1311.3168}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-1311.3168}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       552
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        99

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       5.6
{txt}{col 63}max{col 67}={col 69}{res}        13

{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}    34.60
{txt}Log likelihood = {res}-1311.3168{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0017

{txt}{hline 45}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                   nicheness{col 46}{c |}      Coef.{col 58}   Std. Err.{col 70}      z{col 78}   P>|z|{col 86}     [95% Con{col 99}f. Interval]
{hline 45}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss_mod3 {c |}
{space 41}L1. {c |}{col 46}{res}{space 2}-.2882765{col 58}{space 2} .4010737{col 69}{space 1}   -0.72{col 78}{space 3}0.472{col 86}{space 4}-1.074367{col 99}{space 3} .4978136
{txt}{space 44} {c |}
{space 24}niche_party_previous {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2}-.3924605{col 58}{space 2} 1.150418{col 69}{space 1}   -0.34{col 78}{space 3}0.733{col 86}{space 4}-2.647238{col 99}{space 3} 1.862317
{txt}{space 44} {c |}
{space 12}niche_party_previous#cL.pss_mod3 {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2}-1.240863{col 58}{space 2} .9014116{col 69}{space 1}   -1.38{col 78}{space 3}0.169{col 86}{space 4}-3.007597{col 99}{space 3} .5258717
{txt}{space 44} {c |}
{space 35}leaderdom {c |}{col 46}{res}{space 2} -.035219{col 58}{space 2} .0395733{col 69}{space 1}   -0.89{col 78}{space 3}0.373{col 86}{space 4}-.1127812{col 99}{space 3} .0423433
{txt}{space 44} {c |}
{space 21}cL.pss_mod3#c.leaderdom {c |}{col 46}{res}{space 2} .0083603{col 58}{space 2} .0196787{col 69}{space 1}    0.42{col 78}{space 3}0.671{col 86}{space 4}-.0302092{col 99}{space 3} .0469298
{txt}{space 44} {c |}
{space 12}niche_party_previous#c.leaderdom {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2}  .027812{col 58}{space 2} .0592209{col 69}{space 1}    0.47{col 78}{space 3}0.639{col 86}{space 4}-.0882588{col 99}{space 3} .1438829
{txt}{space 44} {c |}
niche_party_previous#cL.pss_mod3#c.leaderdom {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2} .0604296{col 58}{space 2} .0435104{col 69}{space 1}    1.39{col 78}{space 3}0.165{col 86}{space 4}-.0248492{col 99}{space 3} .1457084
{txt}{space 44} {c |}
{space 35}vote_loss {c |}{col 46}{res}{space 2}-.0223414{col 58}{space 2} .0249094{col 69}{space 1}   -0.90{col 78}{space 3}0.370{col 86}{space 4} -.071163{col 99}{space 3} .0264802
{txt}{space 44} {c |}
{space 34}vote_share {c |}
{space 41}L1. {c |}{col 46}{res}{space 2}-.0533511{col 58}{space 2}  .016201{col 69}{space 1}   -3.29{col 78}{space 3}0.001{col 86}{space 4}-.0851044{col 99}{space 3}-.0215978
{txt}{space 44} {c |}
{space 35}party_age {c |}{col 46}{res}{space 2}-.0115883{col 58}{space 2} .0059212{col 69}{space 1}   -1.96{col 78}{space 3}0.050{col 86}{space 4}-.0231936{col 99}{space 3} .0000171
{txt}{space 33}lopposition {c |}{col 46}{res}{space 2} .1277262{col 58}{space 2}  .245341{col 69}{space 1}    0.52{col 78}{space 3}0.603{col 86}{space 4}-.3531333{col 99}{space 3} .6085857
{txt}{space 44} {c |}
{space 38}decade {c |}
{space 34}1980-1989  {c |}{col 46}{res}{space 2}-.2858418{col 58}{space 2} .4162842{col 69}{space 1}   -0.69{col 78}{space 3}0.492{col 86}{space 4}-1.101744{col 99}{space 3} .5300602
{txt}{space 34}1990-1999  {c |}{col 46}{res}{space 2}-.3085306{col 58}{space 2} .4403713{col 69}{space 1}   -0.70{col 78}{space 3}0.484{col 86}{space 4}-1.171643{col 99}{space 3} .5545814
{txt}{space 31}2000 onwards  {c |}{col 46}{res}{space 2} .3858057{col 58}{space 2} .4566083{col 69}{space 1}    0.84{col 78}{space 3}0.398{col 86}{space 4}-.5091302{col 99}{space 3} 1.280742
{txt}{space 44} {c |}
{space 39}_cons {c |}{col 46}{res}{space 2} 4.225683{col 58}{space 2} .9120217{col 69}{space 1}    4.63{col 78}{space 3}0.000{col 86}{space 4} 2.438153{col 99}{space 3} 6.013213
{txt}{hline 45}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.001808{col 44} .6103479{col 58} 2.015166{col 70} 4.471517
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}   5.3578{col 44} .3552252{col 58}  4.70491{col 70}  6.10129
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}116.61{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(niche_party_previous=(0 1) leaderdom=(0 10 20 30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       552

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2882765{col 26}{space 2} .4010737{col 37}{space 1}   -0.72{col 46}{space 3}0.472{col 54}{space 4}-1.074367{col 67}{space 3} .4978136
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2046736{col 26}{space 2} .2229378{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-.6416236{col 67}{space 3} .2322765
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1210707{col 26}{space 2} .1264607{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-.3689291{col 67}{space 3} .1267878
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0374678{col 26}{space 2}  .244404{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4}-.5164907{col 67}{space 3} .4415552
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-1.529139{col 26}{space 2} .9099462{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4}-3.312601{col 67}{space 3} .2543227
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.8412402{col 26}{space 2} .5079252{col 37}{space 1}   -1.66{col 46}{space 3}0.098{col 54}{space 4}-1.836755{col 67}{space 3}  .154275
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1533414{col 26}{space 2} .2692625{col 37}{space 1}   -0.57{col 46}{space 3}0.569{col 54}{space 4}-.6810861{col 67}{space 3} .3744034
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .5345575{col 26}{space 2} .5210995{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.4867788{col 67}{space 3} 1.555894
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Lead. dom.=0" 6 "Lead. dom.=10" 7 "Lead. dom.=20" 8 "Lead. dom.=30")) ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous leaderdom{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss_mod3##i.niche_party_previous##c.l.vote_share  vote_loss party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1704.0339}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-1704.0338}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       707
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       161

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       4.4
{txt}{col 63}max{col 67}={col 69}{res}        13

{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}    63.98
{txt}Log likelihood = {res}-1704.0338{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 47}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                     nicheness{col 48}{c |}      Coef.{col 60}   Std. Err.{col 72}      z{col 80}   P>|z|{col 88}     [95% Con{col 101}f. Interval]
{hline 47}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 38}pss_mod3 {c |}
{space 43}L1. {c |}{col 48}{res}{space 2}-.1367326{col 60}{space 2} .1595496{col 71}{space 1}   -0.86{col 80}{space 3}0.391{col 88}{space 4} -.449444{col 101}{space 3} .1759789
{txt}{space 46} {c |}
{space 26}niche_party_previous {c |}
{space 39}NP t-1  {c |}{col 48}{res}{space 2} .8758629{col 60}{space 2}  .416245{col 71}{space 1}    2.10{col 80}{space 3}0.035{col 88}{space 4} .0600377{col 101}{space 3} 1.691688
{txt}{space 46} {c |}
{space 14}niche_party_previous#cL.pss_mod3 {c |}
{space 39}NP t-1  {c |}{col 48}{res}{space 2}-.1319016{col 60}{space 2} .2812953{col 71}{space 1}   -0.47{col 80}{space 3}0.639{col 88}{space 4}-.6832303{col 101}{space 3} .4194271
{txt}{space 46} {c |}
{space 36}vote_share {c |}
{space 43}L1. {c |}{col 48}{res}{space 2}-.0600503{col 60}{space 2} .0152023{col 71}{space 1}   -3.95{col 80}{space 3}0.000{col 88}{space 4}-.0898463{col 101}{space 3}-.0302543
{txt}{space 46} {c |}
{space 21}cL.pss_mod3#cL.vote_share {c |}{col 48}{res}{space 2}-.0032729{col 60}{space 2} .0095321{col 71}{space 1}   -0.34{col 80}{space 3}0.731{col 88}{space 4}-.0219554{col 101}{space 3} .0154097
{txt}{space 46} {c |}
{space 12}niche_party_previous#cL.vote_share {c |}
{space 39}NP t-1  {c |}{col 48}{res}{space 2} .0004614{col 60}{space 2} .0255231{col 71}{space 1}    0.02{col 80}{space 3}0.986{col 88}{space 4}-.0495629{col 101}{space 3} .0504857
{txt}{space 46} {c |}
niche_party_previous#cL.pss_mod3#cL.vote_share {c |}
{space 39}NP t-1  {c |}{col 48}{res}{space 2} .0109358{col 60}{space 2} .0213109{col 71}{space 1}    0.51{col 80}{space 3}0.608{col 88}{space 4}-.0308328{col 101}{space 3} .0527044
{txt}{space 46} {c |}
{space 37}vote_loss {c |}{col 48}{res}{space 2}   -.0178{col 60}{space 2}   .02423{col 71}{space 1}   -0.73{col 80}{space 3}0.463{col 88}{space 4}-.0652899{col 101}{space 3} .0296898
{txt}{space 37}party_age {c |}{col 48}{res}{space 2}-.0127888{col 60}{space 2} .0047997{col 71}{space 1}   -2.66{col 80}{space 3}0.008{col 88}{space 4}-.0221962{col 101}{space 3}-.0033815
{txt}{space 35}lopposition {c |}{col 48}{res}{space 2} .1263714{col 60}{space 2} .2390876{col 71}{space 1}    0.53{col 80}{space 3}0.597{col 88}{space 4}-.3422316{col 101}{space 3} .5949745
{txt}{space 46} {c |}
{space 40}decade {c |}
{space 36}1980-1989  {c |}{col 48}{res}{space 2}-.3691998{col 60}{space 2} .3964005{col 71}{space 1}   -0.93{col 80}{space 3}0.352{col 88}{space 4}-1.146131{col 101}{space 3}  .407731
{txt}{space 36}1990-1999  {c |}{col 48}{res}{space 2}-.3052876{col 60}{space 2} .4163226{col 71}{space 1}   -0.73{col 80}{space 3}0.463{col 88}{space 4}-1.121265{col 101}{space 3} .5106897
{txt}{space 33}2000 onwards  {c |}{col 48}{res}{space 2} .2732478{col 60}{space 2} .4151667{col 71}{space 1}    0.66{col 80}{space 3}0.510{col 88}{space 4}-.5404639{col 101}{space 3}  1.08696
{txt}{space 46} {c |}
{space 41}_cons {c |}{col 48}{res}{space 2}  3.69048{col 60}{space 2} .4966096{col 71}{space 1}    7.43{col 80}{space 3}0.000{col 88}{space 4} 2.717143{col 101}{space 3} 4.663817
{txt}{hline 47}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.943408{col 44} .5710098{col 58} 2.012429{col 70} 4.305071
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 5.689245{col 44} .3493394{col 58} 5.044149{col 70} 6.416842
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}104.26{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(niche_party_previous=(0 1) L.vote_share=(0 10 30 50)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       707

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1367326{col 26}{space 2} .1595496{col 37}{space 1}   -0.86{col 46}{space 3}0.391{col 54}{space 4} -.449444{col 67}{space 3} .1759789
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1694612{col 26}{space 2} .1111641{col 37}{space 1}   -1.52{col 46}{space 3}0.127{col 54}{space 4}-.3873388{col 67}{space 3} .0484164
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2349185{col 26}{space 2} .2016847{col 37}{space 1}   -1.16{col 46}{space 3}0.244{col 54}{space 4}-.6302132{col 67}{space 3} .1603762
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3003757{col 26}{space 2} .3764101{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-1.038126{col 67}{space 3} .4373746
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.2686342{col 26}{space 2} .2699248{col 37}{space 1}   -1.00{col 46}{space 3}0.320{col 54}{space 4} -.797677{col 67}{space 3} .2604086
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1920045{col 26}{space 2} .2104616{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.6045018{col 67}{space 3} .2204927
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0387452{col 26}{space 2} .4873056{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.9938467{col 67}{space 3} .9163563
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1145142{col 26}{space 2} .8742866{col 37}{space 1}    0.13{col 46}{space 3}0.896{col 54}{space 4}-1.599056{col 67}{space 3} 1.828084
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Size t-1=0" 6 "Size t-1=10" 7 "Size t-1=30" 8 "Size t-1=50")) ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous L.vote_share{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss_mod3##i.niche_party_previous##i.lopposition vote_loss party_age l.vote_share i.decade || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1699.9512}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-1699.9512}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       707
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       161

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       4.4
{txt}{col 63}max{col 67}={col 69}{res}        13

{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}    72.79
{txt}Log likelihood = {res}-1699.9512{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 45}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                   nicheness{col 46}{c |}      Coef.{col 58}   Std. Err.{col 70}      z{col 78}   P>|z|{col 86}     [95% Con{col 99}f. Interval]
{hline 45}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss_mod3 {c |}
{space 41}L1. {c |}{col 46}{res}{space 2}-.1782563{col 58}{space 2} .1576022{col 69}{space 1}   -1.13{col 78}{space 3}0.258{col 86}{space 4} -.487151{col 99}{space 3} .1306384
{txt}{space 44} {c |}
{space 24}niche_party_previous {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2}-.1350588{col 58}{space 2} .5581794{col 69}{space 1}   -0.24{col 78}{space 3}0.809{col 86}{space 4} -1.22907{col 99}{space 3} .9589527
{txt}{space 44} {c |}
{space 12}niche_party_previous#cL.pss_mod3 {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2}-.8880143{col 58}{space 2} .5686549{col 69}{space 1}   -1.56{col 78}{space 3}0.118{col 86}{space 4}-2.002558{col 99}{space 3} .2265289
{txt}{space 44} {c |}
{space 33}lopposition {c |}
{space 29}Opposition t-1  {c |}{col 46}{res}{space 2}-.0588565{col 58}{space 2} .2509043{col 69}{space 1}   -0.23{col 78}{space 3}0.815{col 86}{space 4}  -.55062{col 99}{space 3}  .432907
{txt}{space 44} {c |}
{space 21}lopposition#cL.pss_mod3 {c |}
{space 29}Opposition t-1  {c |}{col 46}{res}{space 2}-.0146156{col 58}{space 2} .1796812{col 69}{space 1}   -0.08{col 78}{space 3}0.935{col 86}{space 4}-.3667842{col 99}{space 3}  .337553
{txt}{space 44} {c |}
{space 12}niche_party_previous#lopposition {c |}
{space 22}NP t-1#Opposition t-1  {c |}{col 46}{res}{space 2} 1.389555{col 58}{space 2} .6450307{col 69}{space 1}    2.15{col 78}{space 3}0.031{col 86}{space 4}  .125318{col 99}{space 3} 2.653792
{txt}{space 44} {c |}
niche_party_previous#lopposition#cL.pss_mod3 {c |}
{space 22}NP t-1#Opposition t-1  {c |}{col 46}{res}{space 2} 1.021268{col 58}{space 2} .6100234{col 69}{space 1}    1.67{col 78}{space 3}0.094{col 86}{space 4}-.1743559{col 99}{space 3} 2.216892
{txt}{space 44} {c |}
{space 35}vote_loss {c |}{col 46}{res}{space 2}-.0151008{col 58}{space 2} .0240177{col 69}{space 1}   -0.63{col 78}{space 3}0.530{col 86}{space 4}-.0621746{col 99}{space 3}  .031973
{txt}{space 35}party_age {c |}{col 46}{res}{space 2}-.0122703{col 58}{space 2} .0047744{col 69}{space 1}   -2.57{col 78}{space 3}0.010{col 86}{space 4} -.021628{col 99}{space 3}-.0029126
{txt}{space 44} {c |}
{space 34}vote_share {c |}
{space 41}L1. {c |}{col 46}{res}{space 2}-.0620005{col 58}{space 2} .0139759{col 69}{space 1}   -4.44{col 78}{space 3}0.000{col 86}{space 4}-.0893927{col 99}{space 3}-.0346083
{txt}{space 44} {c |}
{space 38}decade {c |}
{space 34}1980-1989  {c |}{col 46}{res}{space 2}-.3461895{col 58}{space 2} .3962071{col 69}{space 1}   -0.87{col 78}{space 3}0.382{col 86}{space 4}-1.122741{col 99}{space 3} .4303621
{txt}{space 34}1990-1999  {c |}{col 46}{res}{space 2}-.2854074{col 58}{space 2} .4163488{col 69}{space 1}   -0.69{col 78}{space 3}0.493{col 86}{space 4}-1.101436{col 99}{space 3} .5306213
{txt}{space 31}2000 onwards  {c |}{col 46}{res}{space 2} .2944088{col 58}{space 2} .4148638{col 69}{space 1}    0.71{col 78}{space 3}0.478{col 86}{space 4}-.5187094{col 99}{space 3} 1.107527
{txt}{space 44} {c |}
{space 39}_cons {c |}{col 46}{res}{space 2} 3.791065{col 58}{space 2} .4927582{col 69}{space 1}    7.69{col 78}{space 3}0.000{col 86}{space 4} 2.825276{col 99}{space 3} 4.756853
{txt}{hline 45}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.918497{col 44} .5494072{col 58} 2.017997{col 70} 4.220831
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 5.621094{col 44} .3425372{col 58} 4.988277{col 70} 6.334192
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}113.60{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(niche_party_previous=(0 1) lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       707

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1782563{col 26}{space 2} .1576022{col 37}{space 1}   -1.13{col 46}{space 3}0.258{col 54}{space 4} -.487151{col 67}{space 3} .1306384
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1928719{col 26}{space 2} .1264417{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4}-.4406931{col 67}{space 3} .0549492
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-1.066271{col 26}{space 2} .5645028{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-2.172676{col 67}{space 3} .0401344
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0596182{col 26}{space 2} .2181003{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4} -.487087{col 67}{space 3} .3678506
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13)) ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(3 "Government t-1" 4 "Opposition t-1")) ///
> graphregion(fcolor(white)) name(e, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d e, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA5.wmf", replace
{txt}
{com}. 
. **Replicate Table A6 and Figure A6
. 
. xtmelogit inalliance l.pss_mod3 norepres lopposition l.office_exp l.alliance_exp l.totparlparties party_age  if linalliance==1 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-67.061374}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.805693}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-64.962371}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-64.962371}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-64.942736}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-64.821666}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-64.817805}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-64.817804}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       185
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       10

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         4
{txt}{col 63}avg{col 67}={col 69}{res}      18.5
{txt}{col 63}max{col 67}={col 69}{res}        58

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}7{txt}){col 67}={col 70}{res}    23.79
{txt}Log likelihood = {res}-64.817804{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0012

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    inalliance{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}pss_mod3 {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.1222948{col 28}{space 2} .2057011{col 39}{space 1}   -0.59{col 48}{space 3}0.552{col 56}{space 4}-.5254616{col 69}{space 3}  .280872
{txt}{space 14} {c |}
{space 6}norepres {c |}{col 16}{res}{space 2}-1.474036{col 28}{space 2} .6270491{col 39}{space 1}   -2.35{col 48}{space 3}0.019{col 56}{space 4}-2.703029{col 69}{space 3}-.2450422
{txt}{space 3}lopposition {c |}{col 16}{res}{space 2}-.5352014{col 28}{space 2}  .824414{col 39}{space 1}   -0.65{col 48}{space 3}0.516{col 56}{space 4}-2.151023{col 69}{space 3}  1.08062
{txt}{space 14} {c |}
{space 4}office_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} 1.629413{col 28}{space 2} 1.147323{col 39}{space 1}    1.42{col 48}{space 3}0.156{col 56}{space 4}-.6192985{col 69}{space 3} 3.878124
{txt}{space 14} {c |}
{space 2}alliance_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}  1.84919{col 28}{space 2} .7844784{col 39}{space 1}    2.36{col 48}{space 3}0.018{col 56}{space 4}  .311641{col 69}{space 3}  3.38674
{txt}{space 14} {c |}
totparlparties {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.0912642{col 28}{space 2} .0780128{col 39}{space 1}   -1.17{col 48}{space 3}0.242{col 56}{space 4}-.2441665{col 69}{space 3}  .061638
{txt}{space 14} {c |}
{space 5}party_age {c |}{col 16}{res}{space 2}  .003993{col 28}{space 2} .0089094{col 39}{space 1}    0.45{col 48}{space 3}0.654{col 56}{space 4}-.0134692{col 69}{space 3} .0214551
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.508232{col 28}{space 2} 1.416852{col 39}{space 1}    1.06{col 48}{space 3}0.287{col 56}{space 4}-1.268746{col 69}{space 3}  4.28521
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.45e-14{col 44} 8.34e-08{col 58}        0{col 70}        .
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}0.00{col 55}{txt}Prob >= chibar2 = {col 73}{res}1.0000
{txt}
{com}. est store mod1
{txt}
{com}. 
. xtmelogit inalliance l.pss_mod3 l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age  if linalliance==0 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-73.895694}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.762343}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-64.556797}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-64.556797}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-64.365518}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-64.364696}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-64.364696}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       836
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         5
{txt}{col 63}avg{col 67}={col 69}{res}      41.8
{txt}{col 63}max{col 67}={col 69}{res}       125

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}    23.26
{txt}Log likelihood = {res}-64.364696{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0056

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    inalliance{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}pss_mod3 {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} 1.746506{col 28}{space 2} .4521035{col 39}{space 1}    3.86{col 48}{space 3}0.000{col 56}{space 4} .8603994{col 69}{space 3} 2.632612
{txt}{space 14} {c |}
{space 4}advantager {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-4.178066{col 28}{space 2} 1.449385{col 39}{space 1}   -2.88{col 48}{space 3}0.004{col 56}{space 4} -7.01881{col 69}{space 3}-1.337323
{txt}{space 14} {c |}
{space 6}norepres {c |}{col 16}{res}{space 2}-2.249232{col 28}{space 2} 1.410087{col 39}{space 1}   -1.60{col 48}{space 3}0.111{col 56}{space 4}-5.012953{col 69}{space 3} .5144881
{txt}{space 3}lopposition {c |}{col 16}{res}{space 2} 1.432217{col 28}{space 2} 1.090259{col 39}{space 1}    1.31{col 48}{space 3}0.189{col 56}{space 4}-.7046505{col 69}{space 3} 3.569085
{txt}{space 14} {c |}
{space 4}office_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .8523167{col 28}{space 2} 1.330752{col 39}{space 1}    0.64{col 48}{space 3}0.522{col 56}{space 4}-1.755909{col 69}{space 3} 3.460542
{txt}{space 14} {c |}
{space 2}alliance_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-10.38493{col 28}{space 2} 4.767716{col 39}{space 1}   -2.18{col 48}{space 3}0.029{col 56}{space 4}-19.72948{col 69}{space 3}-1.040378
{txt}{space 14} {c |}
totparlparties {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.1678587{col 28}{space 2} .1709965{col 39}{space 1}   -0.98{col 48}{space 3}0.326{col 56}{space 4}-.5030058{col 69}{space 3} .1672883
{txt}{space 14} {c |}
{space 2}lr_extremity {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.1203014{col 28}{space 2} .1623901{col 39}{space 1}   -0.74{col 48}{space 3}0.459{col 56}{space 4}-.4385802{col 69}{space 3} .1979774
{txt}{space 14} {c |}
{space 5}party_age {c |}{col 16}{res}{space 2} .0074664{col 28}{space 2} .0107357{col 39}{space 1}    0.70{col 48}{space 3}0.487{col 56}{space 4}-.0135751{col 69}{space 3} .0285079
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-3.037283{col 28}{space 2} 2.400647{col 39}{space 1}   -1.27{col 48}{space 3}0.206{col 56}{space 4}-7.742464{col 69}{space 3} 1.667897
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  8.65494{col 44} 5.897235{col 58}  2.27656{col 70} 32.90403
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}41.54{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod2
{txt}
{com}. 
. xtmelogit inalliance c.l.pss_mod3##c.party_age l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity  if linalliance==0 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-73.882924}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.748263}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:  -64.5228}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:  -64.5228}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-64.339439}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-64.338723}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-64.338723}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       836
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         5
{txt}{col 63}avg{col 67}={col 69}{res}      41.8
{txt}{col 63}max{col 67}={col 69}{res}       125

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}10{txt}){col 67}={col 70}{res}    23.51
{txt}Log likelihood = {res}-64.338723{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0090

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             inalliance{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss_mod3 {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} 1.805127{col 37}{space 2} .5212639{col 48}{space 1}    3.46{col 57}{space 3}0.001{col 65}{space 4} .7834689{col 78}{space 3} 2.826786
{txt}{space 23} {c |}
{space 14}party_age {c |}{col 25}{res}{space 2}   .00842{col 37}{space 2} .0114569{col 48}{space 1}    0.73{col 57}{space 3}0.462{col 65}{space 4} -.014035{col 78}{space 3}  .030875
{txt}{space 23} {c |}
cL.pss_mod3#c.party_age {c |}{col 25}{res}{space 2}-.0016759{col 37}{space 2} .0073151{col 48}{space 1}   -0.23{col 57}{space 3}0.819{col 65}{space 4}-.0160131{col 78}{space 3} .0126614
{txt}{space 23} {c |}
{space 13}advantager {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-4.172858{col 37}{space 2} 1.441783{col 48}{space 1}   -2.89{col 57}{space 3}0.004{col 65}{space 4}  -6.9987{col 78}{space 3}-1.347015
{txt}{space 23} {c |}
{space 15}norepres {c |}{col 25}{res}{space 2}-2.229459{col 37}{space 2} 1.412445{col 48}{space 1}   -1.58{col 57}{space 3}0.114{col 65}{space 4}-4.997802{col 78}{space 3} .5388831
{txt}{space 12}lopposition {c |}{col 25}{res}{space 2} 1.455298{col 37}{space 2} 1.092489{col 48}{space 1}    1.33{col 57}{space 3}0.183{col 65}{space 4}-.6859416{col 78}{space 3} 3.596537
{txt}{space 23} {c |}
{space 13}office_exp {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} .9080438{col 37}{space 2} 1.346283{col 48}{space 1}    0.67{col 57}{space 3}0.500{col 65}{space 4}-1.730623{col 78}{space 3} 3.546711
{txt}{space 23} {c |}
{space 11}alliance_exp {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-10.48863{col 37}{space 2} 4.778536{col 48}{space 1}   -2.19{col 57}{space 3}0.028{col 65}{space 4}-19.85439{col 78}{space 3}-1.122876
{txt}{space 23} {c |}
{space 9}totparlparties {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} -.170593{col 37}{space 2} .1713359{col 48}{space 1}   -1.00{col 57}{space 3}0.319{col 65}{space 4}-.5064051{col 78}{space 3} .1652191
{txt}{space 23} {c |}
{space 11}lr_extremity {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-.1202764{col 37}{space 2} .1627203{col 48}{space 1}   -0.74{col 57}{space 3}0.460{col 65}{space 4}-.4392024{col 78}{space 3} .1986495
{txt}{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2}-3.093098{col 37}{space 2} 2.402318{col 48}{space 1}   -1.29{col 57}{space 3}0.198{col 65}{space 4}-7.801554{col 78}{space 3} 1.615358
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 8.606886{col 44} 5.850843{col 58} 2.270968{col 70} 32.61979
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}41.58{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod3
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       836

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
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{txt}{space 8}172  {c |}{col 14}{res}{space 2} 1.518556{col 26}{space 2} 1.088161{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.6141995{col 67}{space 3} 3.651312
{txt}{space 8}173  {c |}{col 14}{res}{space 2} 1.516881{col 26}{space 2} 1.094821{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4}-.6289293{col 67}{space 3}  3.66269
{txt}{space 8}174  {c |}{col 14}{res}{space 2} 1.515205{col 26}{space 2}  1.10149{col 37}{space 1}    1.38{col 46}{space 3}0.169{col 54}{space 4}-.6436753{col 67}{space 3} 3.674085
{txt}{space 8}175  {c |}{col 14}{res}{space 2} 1.513529{col 26}{space 2} 1.108166{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.6584374{col 67}{space 3} 3.685495
{txt}{space 8}176  {c |}{col 14}{res}{space 2} 1.511853{col 26}{space 2} 1.114851{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.6732152{col 67}{space 3} 3.696921
{txt}{space 8}177  {c |}{col 14}{res}{space 2} 1.510177{col 26}{space 2} 1.121544{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.6880083{col 67}{space 3} 3.708363
{txt}{space 8}178  {c |}{col 14}{res}{space 2} 1.508501{col 26}{space 2} 1.128244{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.7028167{col 67}{space 3} 3.719819
{txt}{space 8}179  {c |}{col 14}{res}{space 2} 1.506825{col 26}{space 2} 1.134952{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.7176399{col 67}{space 3} 3.731291
{txt}{space 8}180  {c |}{col 14}{res}{space 2}  1.50515{col 26}{space 2} 1.141668{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.7324777{col 67}{space 3} 3.742777
{txt}{space 8}181  {c |}{col 14}{res}{space 2} 1.503474{col 26}{space 2}  1.14839{col 37}{space 1}    1.31{col 46}{space 3}0.190{col 54}{space 4}-.7473299{col 67}{space 3} 3.754277
{txt}{space 8}182  {c |}{col 14}{res}{space 2} 1.501798{col 26}{space 2}  1.15512{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.7621962{col 67}{space 3} 3.765792
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(3,357 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(4,011 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. **xtmelogit cannot estimate equation below
. melogit inalliance c.l.pss_mod3##c.leaderdom l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age if linalliance==0 || ccode:
{res}{txt}
Fitting fixed-effects model:

Iteration 0:{space 3}log likelihood = {res:-79.575453}  
Iteration 1:{space 3}log likelihood = {res:-43.870094}  
Iteration 2:{space 3}log likelihood = {res:-41.543831}  
Iteration 3:{space 3}log likelihood = {res:-40.394289}  
Iteration 4:{space 3}log likelihood = {res:-40.384836}  
Iteration 5:{space 3}log likelihood = {res:-40.384829}  
Iteration 6:{space 3}log likelihood = {res:-40.384829}  

Refining starting values:

Grid node 0:{space 3}log likelihood = {res:-37.567232}

Fitting full model:
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-37.567232}  
Iteration 1:{space 3}log likelihood = {res:-34.392086}  
Iteration 2:{space 3}log likelihood = {res:-32.934495}  
Iteration 3:{space 3}log likelihood = {res:-32.410769}  
Iteration 4:{space 3}log likelihood = {res:-32.256415}  
Iteration 5:{space 3}log likelihood = {res:-32.194102}  
Iteration 6:{space 3}log likelihood = {res:-32.191864}  
Iteration 7:{space 3}log likelihood = {res:-32.196571}  
Iteration 8:{space 3}log likelihood = {res:-32.200533}  
Iteration 9:{space 3}log likelihood = {res:-32.202904}  
Iteration 10:{space 2}log likelihood = {res: -32.20423}  
Iteration 11:{space 2}log likelihood = {res:-32.204923}  
Iteration 12:{space 2}log likelihood = {res:-32.205269}  
Iteration 13:{space 2}log likelihood = {res:-32.205436}  
Iteration 14:{space 2}log likelihood = {res:-32.205514}  
Iteration 15:{space 2}log likelihood = {res:-32.205549}  
Iteration 16:{space 2}log likelihood = {res:-32.205564}  
Iteration 17:{space 2}log likelihood = {res: -32.20557}  
Iteration 18:{space 2}log likelihood = {res:-32.205572}  
{res}
{txt}Mixed-effects logistic regression{col 49}{txt}Number of obs{col 67}={res}{col 69}       610
{txt}Group variable: {col 27}{res}ccode{col 49}{txt}Number of groups{col 67}={res}{col 69}        18

{col 49}{txt}Obs per group:
{col 63}{txt}min{col 67}={res}{col 69}         3
{col 63}{txt}avg{col 67}={res}{col 69}      33.9
{col 63}{txt}max{col 67}={res}{col 69}       115

{txt}Integration method: {col 21}{res}mvaghermite{col 49}{txt}Integration pts.{col 67}={col 78}{res}7

{col 49}{txt}Wald chi2({res}11{txt}){col 67}={res}{col 70}    13.37
{txt}Log likelihood = {res}-32.205572{col 49}{txt}Prob > chi2{col 67}={res}{col 73}0.2698
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             inalliance{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss_mod3 {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} 1.559069{col 37}{space 2} 1.777088{col 48}{space 1}    0.88{col 57}{space 3}0.380{col 65}{space 4}-1.923959{col 78}{space 3} 5.042097
{txt}{space 23} {c |}
{space 14}leaderdom {c |}{col 25}{res}{space 2}-.0677266{col 37}{space 2} .2300491{col 48}{space 1}   -0.29{col 57}{space 3}0.768{col 65}{space 4}-.5186146{col 78}{space 3} .3831613
{txt}{space 23} {c |}
cL.pss_mod3#c.leaderdom {c |}{col 25}{res}{space 2} .0357098{col 37}{space 2} .0792538{col 48}{space 1}    0.45{col 57}{space 3}0.652{col 65}{space 4}-.1196248{col 78}{space 3} .1910443
{txt}{space 23} {c |}
{space 13}advantager {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-3.408281{col 37}{space 2} 3.264233{col 48}{space 1}   -1.04{col 57}{space 3}0.296{col 65}{space 4} -9.80606{col 78}{space 3} 2.989498
{txt}{space 23} {c |}
{space 15}norepres {c |}{col 25}{res}{space 2}-3.249291{col 37}{space 2} 3.958956{col 48}{space 1}   -0.82{col 57}{space 3}0.412{col 65}{space 4} -11.0087{col 78}{space 3}  4.51012
{txt}{space 12}lopposition {c |}{col 25}{res}{space 2} .8130012{col 37}{space 2} 1.312518{col 48}{space 1}    0.62{col 57}{space 3}0.536{col 65}{space 4}-1.759488{col 78}{space 3}  3.38549
{txt}{space 23} {c |}
{space 13}office_exp {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} .3504042{col 37}{space 2} 1.888493{col 48}{space 1}    0.19{col 57}{space 3}0.853{col 65}{space 4}-3.350974{col 78}{space 3} 4.051782
{txt}{space 23} {c |}
{space 11}alliance_exp {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-13.01966{col 37}{space 2} 10.74513{col 48}{space 1}   -1.21{col 57}{space 3}0.226{col 65}{space 4}-34.07974{col 78}{space 3} 8.040414
{txt}{space 23} {c |}
{space 9}totparlparties {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} .2287685{col 37}{space 2} .3892534{col 48}{space 1}    0.59{col 57}{space 3}0.557{col 65}{space 4}-.5341541{col 78}{space 3} .9916911
{txt}{space 23} {c |}
{space 11}lr_extremity {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-.6831537{col 37}{space 2} .5448945{col 48}{space 1}   -1.25{col 57}{space 3}0.210{col 65}{space 4}-1.751127{col 78}{space 3} .3848199
{txt}{space 23} {c |}
{space 14}party_age {c |}{col 25}{res}{space 2}  .020395{col 37}{space 2} .0220533{col 48}{space 1}    0.92{col 57}{space 3}0.355{col 65}{space 4}-.0228287{col 78}{space 3} .0636187
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-9.457846{col 37}{space 2}  6.35412{col 48}{space 1}   -1.49{col 57}{space 3}0.137{col 65}{space 4}-21.91169{col 78}{space 3} 2.996001
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}ccode                  {col 25}{c |}
              var(_cons){c |}{col 25}{res}{space 2} 38.67664{col 37}{space 2} 43.74982{col 65}{space 4} 4.213045{col 78}{space 3} 355.0598
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test vs. logistic model: {txt}{help j_chibar##|_new:chibar2(01) =}{res} 16.36{col 55}{txt}Prob >= chibar2 = {res}{col 73}0.0000
{txt}
{com}. est store mod4
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(leaderdom=(0(1)30)) l(95) predict(xb)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       610
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion only, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.559069{col 26}{space 2} 1.777088{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4}-1.923959{col 67}{space 3} 5.042097
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.594778{col 26}{space 2} 1.707289{col 37}{space 1}    0.93{col 46}{space 3}0.350{col 54}{space 4}-1.751447{col 67}{space 3} 4.941004
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.630488{col 26}{space 2} 1.638351{col 37}{space 1}    1.00{col 46}{space 3}0.320{col 54}{space 4}-1.580621{col 67}{space 3} 4.841597
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.666198{col 26}{space 2} 1.570386{col 37}{space 1}    1.06{col 46}{space 3}0.289{col 54}{space 4}-1.411703{col 67}{space 3} 4.744099
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.701908{col 26}{space 2} 1.503528{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-1.244953{col 67}{space 3} 4.648768
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 1.737617{col 26}{space 2} 1.437929{col 37}{space 1}    1.21{col 46}{space 3}0.227{col 54}{space 4}-1.080672{col 67}{space 3} 4.555907
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 1.773327{col 26}{space 2} 1.373771{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-.9192151{col 67}{space 3} 4.465869
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 1.809037{col 26}{space 2} 1.311265{col 37}{space 1}    1.38{col 46}{space 3}0.168{col 54}{space 4}-.7609959{col 67}{space 3}  4.37907
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 1.844747{col 26}{space 2} 1.250659{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.6065002{col 67}{space 3} 4.295993
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 1.880456{col 26}{space 2} 1.192242{col 37}{space 1}    1.58{col 46}{space 3}0.115{col 54}{space 4}-.4562959{col 67}{space 3} 4.217209
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 1.916166{col 26}{space 2} 1.136353{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4} -.311045{col 67}{space 3} 4.143377
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 1.951876{col 26}{space 2} 1.083382{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.1715141{col 67}{space 3} 4.075266
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 1.987586{col 26}{space 2} 1.033778{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0385827{col 67}{space 3} 4.013754
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 2.023295{col 26}{space 2}  .988049{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4}  .086755{col 67}{space 3} 3.959836
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 2.059005{col 26}{space 2} .9467557{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4}  .203398{col 67}{space 3} 3.914612
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 2.094715{col 26}{space 2} .9105022{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .3101634{col 67}{space 3} 3.879266
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 2.130425{col 26}{space 2} .8799116{col 37}{space 1}    2.42{col 46}{space 3}0.015{col 54}{space 4} .4058297{col 67}{space 3}  3.85502
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 2.166134{col 26}{space 2} .8555916{col 37}{space 1}    2.53{col 46}{space 3}0.011{col 54}{space 4} .4892058{col 67}{space 3} 3.843063
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 2.201844{col 26}{space 2} .8380881{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .5592216{col 67}{space 3} 3.844467
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 2.237554{col 26}{space 2} .8278338{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .6150295{col 67}{space 3} 3.860078
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 2.273264{col 26}{space 2}  .825099{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .6560994{col 67}{space 3} 3.890428
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 2.308973{col 26}{space 2} .8299579{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4} .6822859{col 67}{space 3} 3.935661
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 2.344683{col 26}{space 2} .8422792{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4} .6938464{col 67}{space 3}  3.99552
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 2.380393{col 26}{space 2} .8617428{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .6914081{col 67}{space 3} 4.069378
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 2.416103{col 26}{space 2} .8878792{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .6758915{col 67}{space 3} 4.156314
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 2.451812{col 26}{space 2} .9201198{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .6484108{col 67}{space 3} 4.255214
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 2.487522{col 26}{space 2} .9578486{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .6101735{col 67}{space 3} 4.364871
{txt}{space 9}28  {c |}{col 14}{res}{space 2} 2.523232{col 26}{space 2} 1.000445{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .5623964{col 67}{space 3} 4.484068
{txt}{space 9}29  {c |}{col 14}{res}{space 2} 2.558942{col 26}{space 2} 1.047315{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4}  .506243{col 67}{space 3}  4.61164
{txt}{space 9}30  {c |}{col 14}{res}{space 2} 2.594651{col 26}{space 2} 1.097911{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .4427859{col 67}{space 3} 4.746517
{txt}{space 9}31  {c |}{col 14}{res}{space 2} 2.630361{col 26}{space 2} 1.151742{col 37}{space 1}    2.28{col 46}{space 3}0.022{col 54}{space 4} .3729875{col 67}{space 3} 4.887735
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(3,583 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 30 31
{txt}(4,162 missing values generated)

{com}. 
. twoway hist leaderdom if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Leader dominance",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss_mod3##c.l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age if linalliance==0 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-73.636678}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.076123}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-63.723958}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-63.723958}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-63.577737}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-63.576971}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-63.576971}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       836
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         5
{txt}{col 63}avg{col 67}={col 69}{res}      41.8
{txt}{col 63}max{col 67}={col 69}{res}       125

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    22.42
{txt}Log likelihood = {res}-63.576971{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0213

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               inalliance{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}pss_mod3 {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}  1.54874{col 39}{space 2} .5134024{col 50}{space 1}    3.02{col 59}{space 3}0.003{col 67}{space 4} .5424894{col 80}{space 3}  2.55499
{txt}{space 25} {c |}
{space 15}vote_share {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.0474424{col 39}{space 2} .0550435{col 50}{space 1}   -0.86{col 59}{space 3}0.389{col 67}{space 4}-.1553257{col 80}{space 3} .0604409
{txt}{space 25} {c |}
cL.pss_mod3#cL.vote_share {c |}{col 27}{res}{space 2} .0286186{col 39}{space 2} .0358895{col 50}{space 1}    0.80{col 59}{space 3}0.425{col 67}{space 4}-.0417235{col 80}{space 3} .0989607
{txt}{space 25} {c |}
{space 15}advantager {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-3.956045{col 39}{space 2} 1.503708{col 50}{space 1}   -2.63{col 59}{space 3}0.009{col 67}{space 4}-6.903258{col 80}{space 3}-1.008832
{txt}{space 25} {c |}
{space 17}norepres {c |}{col 27}{res}{space 2}-2.298246{col 39}{space 2} 1.412294{col 50}{space 1}   -1.63{col 59}{space 3}0.104{col 67}{space 4}-5.066291{col 80}{space 3} .4698002
{txt}{space 14}lopposition {c |}{col 27}{res}{space 2} 1.443281{col 39}{space 2} 1.108039{col 50}{space 1}    1.30{col 59}{space 3}0.193{col 67}{space 4}-.7284358{col 80}{space 3} 3.614997
{txt}{space 25} {c |}
{space 15}office_exp {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} .7948816{col 39}{space 2} 1.368865{col 50}{space 1}    0.58{col 59}{space 3}0.561{col 67}{space 4}-1.888044{col 80}{space 3} 3.477807
{txt}{space 25} {c |}
{space 13}alliance_exp {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-10.44255{col 39}{space 2} 4.601075{col 50}{space 1}   -2.27{col 59}{space 3}0.023{col 67}{space 4}-19.46049{col 80}{space 3}-1.424611
{txt}{space 25} {c |}
{space 11}totparlparties {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.1746536{col 39}{space 2} .1695956{col 50}{space 1}   -1.03{col 59}{space 3}0.303{col 67}{space 4}-.5070549{col 80}{space 3} .1577477
{txt}{space 25} {c |}
{space 13}lr_extremity {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.1144715{col 39}{space 2} .1611556{col 50}{space 1}   -0.71{col 59}{space 3}0.478{col 67}{space 4}-.4303307{col 80}{space 3} .2013877
{txt}{space 25} {c |}
{space 16}party_age {c |}{col 27}{res}{space 2} .0099783{col 39}{space 2} .0111206{col 50}{space 1}    0.90{col 59}{space 3}0.370{col 67}{space 4}-.0118178{col 80}{space 3} .0317744
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-2.880043{col 39}{space 2} 2.434071{col 50}{space 1}   -1.18{col 59}{space 3}0.237{col 67}{space 4}-7.650735{col 80}{space 3}  1.89065
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 8.690789{col 44} 5.843858{col 58} 2.326454{col 70} 32.46564
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}42.68{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod5
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(L.vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       836

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  1.54874{col 26}{space 2} .5134024{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .5424894{col 67}{space 3}  2.55499
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.577358{col 26}{space 2} .4972787{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .6027099{col 67}{space 3} 2.552006
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 1.605977{col 26}{space 2} .4832869{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .6587518{col 67}{space 3} 2.553202
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 1.634595{col 26}{space 2} .4716169{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .7102432{col 67}{space 3} 2.558948
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 1.663214{col 26}{space 2} .4624445{col 37}{space 1}    3.60{col 46}{space 3}0.000{col 54}{space 4} .7568394{col 67}{space 3} 2.569589
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 1.691833{col 26}{space 2} .4559204{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .7982449{col 67}{space 3}  2.58542
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 1.720451{col 26}{space 2} .4521594{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .8342351{col 67}{space 3} 2.606667
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  1.74907{col 26}{space 2} .4512303{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} .8646746{col 67}{space 3} 2.633465
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 1.777688{col 26}{space 2} .4531508{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .8895291{col 67}{space 3} 2.665848
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 1.806307{col 26}{space 2}  .457885{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} .9088689{col 67}{space 3} 2.703745
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 1.834926{col 26}{space 2} .4653469{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} .9228624{col 67}{space 3} 2.746989
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 1.863544{col 26}{space 2} .4754082{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .9317613{col 67}{space 3} 2.795327
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 1.892163{col 26}{space 2}  .487908{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} .9358807{col 67}{space 3} 2.848445
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 1.920781{col 26}{space 2} .5026645{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4}  .935577{col 67}{space 3} 2.905986
{txt}{space 9}15  {c |}{col 14}{res}{space 2}   1.9494{col 26}{space 2} .5194855{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .9312271{col 67}{space 3} 2.967573
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 1.978019{col 26}{space 2} .5381773{col 37}{space 1}    3.68{col 46}{space 3}0.000{col 54}{space 4} .9232104{col 67}{space 3} 3.032827
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 2.006637{col 26}{space 2} .5585522{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4} .9118949{col 67}{space 3} 3.101379
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 2.035256{col 26}{space 2}  .580433{col 37}{space 1}    3.51{col 46}{space 3}0.000{col 54}{space 4}  .897628{col 67}{space 3} 3.172884
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 2.063874{col 26}{space 2} .6036559{col 37}{space 1}    3.42{col 46}{space 3}0.001{col 54}{space 4} .8807306{col 67}{space 3} 3.247018
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 2.092493{col 26}{space 2} .6280721{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .8614943{col 67}{space 3} 3.323492
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 2.121112{col 26}{space 2} .6535478{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .8401814{col 67}{space 3} 3.402042
{txt}{space 9}22  {c |}{col 14}{res}{space 2}  2.14973{col 26}{space 2}  .679964{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .8170252{col 67}{space 3} 3.482435
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 2.178349{col 26}{space 2} .7072153{col 37}{space 1}    3.08{col 46}{space 3}0.002{col 54}{space 4} .7922322{col 67}{space 3} 3.564465
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 2.206967{col 26}{space 2} .7352089{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .7659845{col 67}{space 3}  3.64795
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 2.235586{col 26}{space 2}  .763863{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} .7384419{col 67}{space 3}  3.73273
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 2.264205{col 26}{space 2} .7931062{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .7097449{col 67}{space 3} 3.818664
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 2.292823{col 26}{space 2} .8228757{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .6800164{col 67}{space 3}  3.90563
{txt}{space 9}28  {c |}{col 14}{res}{space 2} 2.321442{col 26}{space 2} .8531163{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .6493645{col 67}{space 3} 3.993519
{txt}{space 9}29  {c |}{col 14}{res}{space 2}  2.35006{col 26}{space 2} .8837797{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4}  .617884{col 67}{space 3} 4.082237
{txt}{space 9}30  {c |}{col 14}{res}{space 2} 2.378679{col 26}{space 2} .9148233{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .5856581{col 67}{space 3}   4.1717
{txt}{space 9}31  {c |}{col 14}{res}{space 2} 2.407298{col 26}{space 2} .9462099{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .5527603{col 67}{space 3} 4.261835
{txt}{space 9}32  {c |}{col 14}{res}{space 2} 2.435916{col 26}{space 2} .9779062{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .5192552{col 67}{space 3} 4.352577
{txt}{space 9}33  {c |}{col 14}{res}{space 2} 2.464535{col 26}{space 2} 1.009883{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4}    .4852{col 67}{space 3} 4.443869
{txt}{space 9}34  {c |}{col 14}{res}{space 2} 2.493153{col 26}{space 2} 1.042115{col 37}{space 1}    2.39{col 46}{space 3}0.017{col 54}{space 4} .4506453{col 67}{space 3} 4.535661
{txt}{space 9}35  {c |}{col 14}{res}{space 2} 2.521772{col 26}{space 2} 1.074579{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .4156362{col 67}{space 3} 4.627908
{txt}{space 9}36  {c |}{col 14}{res}{space 2} 2.550391{col 26}{space 2} 1.107254{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .3802125{col 67}{space 3} 4.720569
{txt}{space 9}37  {c |}{col 14}{res}{space 2} 2.579009{col 26}{space 2} 1.140123{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .3444099{col 67}{space 3} 4.813608
{txt}{space 9}38  {c |}{col 14}{res}{space 2} 2.607628{col 26}{space 2} 1.173168{col 37}{space 1}    2.22{col 46}{space 3}0.026{col 54}{space 4} .3082603{col 67}{space 3} 4.906995
{txt}{space 9}39  {c |}{col 14}{res}{space 2} 2.636246{col 26}{space 2} 1.206376{col 37}{space 1}    2.19{col 46}{space 3}0.029{col 54}{space 4} .2717921{col 67}{space 3} 5.000701
{txt}{space 9}40  {c |}{col 14}{res}{space 2} 2.664865{col 26}{space 2} 1.239734{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4}  .235031{col 67}{space 3} 5.094699
{txt}{space 9}41  {c |}{col 14}{res}{space 2} 2.693484{col 26}{space 2} 1.273229{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4}     .198{col 67}{space 3} 5.188967
{txt}{space 9}42  {c |}{col 14}{res}{space 2} 2.722102{col 26}{space 2} 1.306852{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4} .1607199{col 67}{space 3} 5.283484
{txt}{space 9}43  {c |}{col 14}{res}{space 2} 2.750721{col 26}{space 2} 1.340592{col 37}{space 1}    2.05{col 46}{space 3}0.040{col 54}{space 4} .1232093{col 67}{space 3} 5.378232
{txt}{space 9}44  {c |}{col 14}{res}{space 2} 2.779339{col 26}{space 2} 1.374441{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0854853{col 67}{space 3} 5.473193
{txt}{space 9}45  {c |}{col 14}{res}{space 2} 2.807958{col 26}{space 2} 1.408391{col 37}{space 1}    1.99{col 46}{space 3}0.046{col 54}{space 4} .0475633{col 67}{space 3} 5.568353
{txt}{space 9}46  {c |}{col 14}{res}{space 2} 2.836577{col 26}{space 2} 1.442434{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} .0094571{col 67}{space 3} 5.663696
{txt}{space 9}47  {c |}{col 14}{res}{space 2} 2.865195{col 26}{space 2} 1.476566{col 37}{space 1}    1.94{col 46}{space 3}0.052{col 54}{space 4}-.0288203{col 67}{space 3} 5.759211
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 2.893814{col 26}{space 2} 1.510778{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0672575{col 67}{space 3} 5.854885
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 2.922432{col 26}{space 2} 1.545067{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}-.1058438{col 67}{space 3} 5.950708
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 2.951051{col 26}{space 2} 1.579427{col 37}{space 1}    1.87{col 46}{space 3}0.062{col 54}{space 4}-.1445694{col 67}{space 3} 6.046671
{txt}{space 9}51  {c |}{col 14}{res}{space 2}  2.97967{col 26}{space 2} 1.613854{col 37}{space 1}    1.85{col 46}{space 3}0.065{col 54}{space 4}-.1834256{col 67}{space 3} 6.142765
{txt}{space 9}52  {c |}{col 14}{res}{space 2} 3.008288{col 26}{space 2} 1.648343{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.2224041{col 67}{space 3}  6.23898
{txt}{space 9}53  {c |}{col 14}{res}{space 2} 3.036907{col 26}{space 2}  1.68289{col 37}{space 1}    1.80{col 46}{space 3}0.071{col 54}{space 4}-.2614974{col 67}{space 3} 6.335311
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 3.065525{col 26}{space 2} 1.717493{col 37}{space 1}    1.78{col 46}{space 3}0.074{col 54}{space 4}-.3006986{col 67}{space 3} 6.431749
{txt}{space 9}55  {c |}{col 14}{res}{space 2} 3.094144{col 26}{space 2} 1.752147{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.3400012{col 67}{space 3} 6.528289
{txt}{space 9}56  {c |}{col 14}{res}{space 2} 3.122763{col 26}{space 2}  1.78685{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.3793995{col 67}{space 3} 6.624924
{txt}{space 9}57  {c |}{col 14}{res}{space 2} 3.151381{col 26}{space 2} 1.821599{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.4188878{col 67}{space 3}  6.72165
{txt}{space 9}58  {c |}{col 14}{res}{space 2}     3.18{col 26}{space 2} 1.856392{col 37}{space 1}    1.71{col 46}{space 3}0.087{col 54}{space 4}-.4584612{col 67}{space 3} 6.818461
{txt}{space 9}59  {c |}{col 14}{res}{space 2} 3.208618{col 26}{space 2} 1.891225{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4} -.498115{col 67}{space 3} 6.915352
{txt}{space 9}60  {c |}{col 14}{res}{space 2} 3.237237{col 26}{space 2} 1.926097{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.5378447{col 67}{space 3} 7.012319
{txt}{space 9}61  {c |}{col 14}{res}{space 2} 3.265855{col 26}{space 2} 1.961006{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.5776464{col 67}{space 3} 7.109357
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(3,357 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(4,132 missing values generated)

{com}. 
. twoway hist lsize if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size t-1",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(c, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss_mod3##i.lopposition l.advantager norepres  l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age  if linalliance==0 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-72.470382}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-64.463573}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-62.905879}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-62.905879}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-62.612057}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-62.606396}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-62.606381}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-62.606381}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       836
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         5
{txt}{col 63}avg{col 67}={col 69}{res}      41.8
{txt}{col 63}max{col 67}={col 69}{res}       125

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}10{txt}){col 67}={col 70}{res}    20.17
{txt}Log likelihood = {res}-62.606381{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0277

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             inalliance{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss_mod3 {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} 2.727017{col 37}{space 2} .7863241{col 48}{space 1}    3.47{col 57}{space 3}0.001{col 65}{space 4}  1.18585{col 78}{space 3} 4.268184
{txt}{space 23} {c |}
{space 12}lopposition {c |}
{space 8}Opposition t-1  {c |}{col 25}{res}{space 2} 3.819561{col 37}{space 2} 2.152404{col 48}{space 1}    1.77{col 57}{space 3}0.076{col 65}{space 4}-.3990736{col 78}{space 3} 8.038195
{txt}{space 23} {c |}
lopposition#cL.pss_mod3 {c |}
{space 8}Opposition t-1  {c |}{col 25}{res}{space 2}-1.119413{col 37}{space 2} .6914518{col 48}{space 1}   -1.62{col 57}{space 3}0.105{col 65}{space 4}-2.474634{col 78}{space 3} .2358071
{txt}{space 23} {c |}
{space 13}advantager {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-4.667935{col 37}{space 2} 1.600575{col 48}{space 1}   -2.92{col 57}{space 3}0.004{col 65}{space 4}-7.805004{col 78}{space 3}-1.530866
{txt}{space 23} {c |}
{space 15}norepres {c |}{col 25}{res}{space 2}-2.555757{col 37}{space 2} 1.463491{col 48}{space 1}   -1.75{col 57}{space 3}0.081{col 65}{space 4}-5.424147{col 78}{space 3} .3126318
{txt}{space 23} {c |}
{space 13}office_exp {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} 1.606775{col 37}{space 2} 1.471428{col 48}{space 1}    1.09{col 57}{space 3}0.275{col 65}{space 4}-1.277172{col 78}{space 3} 4.490721
{txt}{space 23} {c |}
{space 11}alliance_exp {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-10.72704{col 37}{space 2} 4.948023{col 48}{space 1}   -2.17{col 57}{space 3}0.030{col 65}{space 4}-20.42499{col 78}{space 3}-1.029091
{txt}{space 23} {c |}
{space 9}totparlparties {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-.1537659{col 37}{space 2} .1755883{col 48}{space 1}   -0.88{col 57}{space 3}0.381{col 65}{space 4}-.4979127{col 78}{space 3} .1903809
{txt}{space 23} {c |}
{space 11}lr_extremity {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} -.126436{col 37}{space 2} .1637866{col 48}{space 1}   -0.77{col 57}{space 3}0.440{col 65}{space 4}-.4474517{col 78}{space 3} .1945798
{txt}{space 23} {c |}
{space 14}party_age {c |}{col 25}{res}{space 2} .0087202{col 37}{space 2} .0112551{col 48}{space 1}    0.77{col 57}{space 3}0.438{col 65}{space 4}-.0133394{col 78}{space 3} .0307798
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-5.249599{col 37}{space 2} 3.119232{col 48}{space 1}   -1.68{col 57}{space 3}0.092{col 65}{space 4}-11.36318{col 78}{space 3} .8639835
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  8.67028{col 44} 5.911605{col 58} 2.278576{col 70} 32.99155
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}43.41{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod6
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       836

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.727017{col 26}{space 2} .7863241{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4}  1.18585{col 67}{space 3} 4.268184
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.607603{col 26}{space 2} .4579409{col 37}{space 1}    3.51{col 46}{space 3}0.000{col 54}{space 4} .7100556{col 67}{space 3} 2.505151
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA6.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5 mod6 ,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA6.csv", replace
{txt}
{com}. 
. **Replicate Table A7 Figure A7
. 
. preserve
{txt}
{com}. 
. drop if elec_year==elec_year_parl2
{txt}(260 observations deleted)

{com}. 
. firthlogit merger pss_mod3 party_age advantager norepres2 opposition office_exp alliance_exp lr_extremity reg_cost party_fin ln_petit
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-40.994484}
rescale:{col 16}penalized log likelihood = {res:-40.994484}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-40.994484}  (not concave)
Iteration 1:{space 3}penalized log likelihood = {res:-35.879561}  
Iteration 2:{space 3}penalized log likelihood = {res:-34.490985}  
Iteration 3:{space 3}penalized log likelihood = {res:-34.201038}  
Iteration 4:{space 3}penalized log likelihood = {res:-34.200601}  
Iteration 5:{space 3}penalized log likelihood = {res:-34.200601}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}       633
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     11.87
{txt}Penalized log likelihood = {res}-34.200601{txt}{col 49}Prob > chi2{col 67}= {res}    0.3738

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      merger{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}pss_mod3 {c |}{col 14}{res}{space 2}-.0721325{col 26}{space 2}  .249338{col 37}{space 1}   -0.29{col 46}{space 3}0.772{col 54}{space 4} -.560826{col 67}{space 3}  .416561
{txt}{space 3}party_age {c |}{col 14}{res}{space 2}-.0142455{col 26}{space 2} .0109984{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0358019{col 67}{space 3} .0073109
{txt}{space 2}advantager {c |}{col 14}{res}{space 2} .1422693{col 26}{space 2} .1440328{col 37}{space 1}    0.99{col 46}{space 3}0.323{col 54}{space 4}-.1400297{col 67}{space 3} .4245683
{txt}{space 3}norepres2 {c |}{col 14}{res}{space 2} 1.866295{col 26}{space 2} .7564845{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .3836125{col 67}{space 3} 3.348977
{txt}{space 2}opposition {c |}{col 14}{res}{space 2} .4749307{col 26}{space 2} 1.027886{col 37}{space 1}    0.46{col 46}{space 3}0.644{col 54}{space 4}-1.539689{col 67}{space 3}  2.48955
{txt}{space 2}office_exp {c |}{col 14}{res}{space 2} .8610204{col 26}{space 2} 1.443974{col 37}{space 1}    0.60{col 46}{space 3}0.551{col 54}{space 4}-1.969117{col 67}{space 3} 3.691158
{txt}alliance_exp {c |}{col 14}{res}{space 2} .6678703{col 26}{space 2} 1.191652{col 37}{space 1}    0.56{col 46}{space 3}0.575{col 54}{space 4}-1.667724{col 67}{space 3} 3.003465
{txt}lr_extremity {c |}{col 14}{res}{space 2}  .032755{col 26}{space 2} .1602377{col 37}{space 1}    0.20{col 46}{space 3}0.838{col 54}{space 4}-.2813051{col 67}{space 3} .3468151
{txt}{space 4}reg_cost {c |}{col 14}{res}{space 2} -.809986{col 26}{space 2} 2.101996{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-4.929823{col 67}{space 3} 3.309851
{txt}{space 3}party_fin {c |}{col 14}{res}{space 2} .5800167{col 26}{space 2} .7067467{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-.8051813{col 67}{space 3} 1.965215
{txt}{space 4}ln_petit {c |}{col 14}{res}{space 2}-.1713842{col 26}{space 2} .2211307{col 37}{space 1}   -0.78{col 46}{space 3}0.438{col 54}{space 4}-.6047925{col 67}{space 3} .2620241
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.393807{col 26}{space 2} 1.431457{col 37}{space 1}   -3.07{col 46}{space 3}0.002{col 54}{space 4}-7.199412{col 67}{space 3}-1.588203
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        623       98.42       98.42
{txt}          1 {c |}{res}         10        1.58      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        633      100.00
{txt}
{com}. est store mod1
{txt}
{com}. firthfit
{txt}(3,300 missing values generated)
(3,300 missing values generated)
(3,300 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -40.994}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -34.201}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:     92.401}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    145.807}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.021}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.175}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.008}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.166}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:     -0.127}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.151}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.029}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger pss_mod3 party_age norepres2 opposition office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-148.15938}
rescale:{col 16}penalized log likelihood = {res:-148.15938}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-148.15938}  
Iteration 1:{space 3}penalized log likelihood = {res:-137.10729}  
Iteration 2:{space 3}penalized log likelihood = {res:-135.00466}  
Iteration 3:{space 3}penalized log likelihood = {res:-134.95552}  
Iteration 4:{space 3}penalized log likelihood = {res: -134.9554}  
Iteration 5:{space 3}penalized log likelihood = {res: -134.9554}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,388
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     25.65
{txt}Penalized log likelihood = {res} -134.9554{txt}{col 49}Prob > chi2{col 67}= {res}    0.0003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      merger{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}pss_mod3 {c |}{col 14}{res}{space 2}-.1212544{col 26}{space 2} .1195971{col 37}{space 1}   -1.01{col 46}{space 3}0.311{col 54}{space 4}-.3556603{col 67}{space 3} .1131516
{txt}{space 3}party_age {c |}{col 14}{res}{space 2}-.0056509{col 26}{space 2} .0061624{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-.0177289{col 67}{space 3} .0064272
{txt}{space 3}norepres2 {c |}{col 14}{res}{space 2} .3210354{col 26}{space 2} .4283395{col 37}{space 1}    0.75{col 46}{space 3}0.454{col 54}{space 4}-.5184946{col 67}{space 3} 1.160565
{txt}{space 2}opposition {c |}{col 14}{res}{space 2} 1.383534{col 26}{space 2} .8230831{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.2296792{col 67}{space 3} 2.996747
{txt}{space 2}office_exp {c |}{col 14}{res}{space 2} .0789902{col 26}{space 2} .8954117{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-1.675985{col 67}{space 3} 1.833965
{txt}alliance_exp {c |}{col 14}{res}{space 2} 1.787486{col 26}{space 2} .4105237{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4} .9828744{col 67}{space 3} 2.592098
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.050411{col 26}{space 2} .8787908{col 37}{space 1}   -5.75{col 46}{space 3}0.000{col 54}{space 4}-6.772809{col 67}{space 3}-3.328012
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,354       97.55       97.55
{txt}          1 {c |}{res}         34        2.45      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,388      100.00
{txt}
{com}. est store mod2
{txt}
{com}. firthfit
{txt}(2,545 missing values generated)
(2,545 missing values generated)
(2,545 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -148.159}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -134.955}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    283.911}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    320.560}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.019}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.098}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.027}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.089}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.042}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.193}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.029}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger c.pss_mod3##c.party_age norepres2 opposition office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-142.60541}
rescale:{col 16}penalized log likelihood = {res:-142.60541}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-142.60541}  
Iteration 1:{space 3}penalized log likelihood = {res:-129.26267}  
Iteration 2:{space 3}penalized log likelihood = {res:-126.43707}  
Iteration 3:{space 3}penalized log likelihood = {res:-126.34409}  
Iteration 4:{space 3}penalized log likelihood = {res:-126.34374}  
Iteration 5:{space 3}penalized log likelihood = {res:-126.34374}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,388
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     31.60
{txt}Penalized log likelihood = {res}-126.34374{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                merger{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}pss_mod3 {c |}{col 24}{res}{space 2}-.3567495{col 36}{space 2} .1510279{col 47}{space 1}   -2.36{col 56}{space 3}0.018{col 64}{space 4}-.6527588{col 77}{space 3}-.0607402
{txt}{space 13}party_age {c |}{col 24}{res}{space 2}-.0076625{col 36}{space 2} .0069579{col 47}{space 1}   -1.10{col 56}{space 3}0.271{col 64}{space 4}-.0212998{col 77}{space 3} .0059748
{txt}{space 22} {c |}
c.pss_mod3#c.party_age {c |}{col 24}{res}{space 2} .0113631{col 36}{space 2} .0041886{col 47}{space 1}    2.71{col 56}{space 3}0.007{col 64}{space 4} .0031537{col 77}{space 3} .0195725
{txt}{space 22} {c |}
{space 13}norepres2 {c |}{col 24}{res}{space 2} .3218087{col 36}{space 2} .4313001{col 47}{space 1}    0.75{col 56}{space 3}0.456{col 64}{space 4}-.5235239{col 77}{space 3} 1.167141
{txt}{space 12}opposition {c |}{col 24}{res}{space 2} 1.223229{col 36}{space 2} .8233845{col 47}{space 1}    1.49{col 56}{space 3}0.137{col 64}{space 4}-.3905752{col 77}{space 3} 2.837033
{txt}{space 12}office_exp {c |}{col 24}{res}{space 2}-.1940869{col 36}{space 2} .9370671{col 47}{space 1}   -0.21{col 56}{space 3}0.836{col 64}{space 4}-2.030705{col 77}{space 3} 1.642531
{txt}{space 10}alliance_exp {c |}{col 24}{res}{space 2} 1.867407{col 36}{space 2} .4111004{col 47}{space 1}    4.54{col 56}{space 3}0.000{col 64}{space 4} 1.061665{col 77}{space 3} 2.673149
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-4.882836{col 36}{space 2} .8757937{col 47}{space 1}   -5.58{col 56}{space 3}0.000{col 64}{space 4} -6.59936{col 77}{space 3}-3.166312
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,354       97.55       97.55
{txt}          1 {c |}{res}         34        2.45      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,388      100.00
{txt}
{com}. est store mod3
{txt}
{com}. firthfit
{txt}(2,545 missing values generated)
(2,545 missing values generated)
(2,545 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -142.605}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -126.344}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    268.687}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    310.572}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.023}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.125}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.047}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.114}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.058}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.239}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.044}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. margins, dydx(pss_mod3) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,388
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{space 8}173  {c |}{col 14}{res}{space 2} 1.597706{col 26}{space 2} .6373005{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .3486196{col 67}{space 3} 2.846792
{txt}{space 8}174  {c |}{col 14}{res}{space 2} 1.609069{col 26}{space 2}  .641417{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .3519145{col 67}{space 3} 2.866223
{txt}{space 8}175  {c |}{col 14}{res}{space 2} 1.620432{col 26}{space 2} .6455345{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .3552076{col 67}{space 3} 2.885656
{txt}{space 8}176  {c |}{col 14}{res}{space 2} 1.631795{col 26}{space 2} .6496528{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .3584989{col 67}{space 3} 2.905091
{txt}{space 8}177  {c |}{col 14}{res}{space 2} 1.643158{col 26}{space 2} .6537721{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .3617885{col 67}{space 3} 2.924528
{txt}{space 8}178  {c |}{col 14}{res}{space 2} 1.654521{col 26}{space 2} .6578922{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .3650763{col 67}{space 3} 2.943966
{txt}{space 8}179  {c |}{col 14}{res}{space 2} 1.665884{col 26}{space 2} .6620131{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .3683625{col 67}{space 3} 2.963406
{txt}{space 8}180  {c |}{col 14}{res}{space 2} 1.677247{col 26}{space 2} .6661349{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4}  .371647{col 67}{space 3} 2.982848
{txt}{space 8}181  {c |}{col 14}{res}{space 2} 1.688611{col 26}{space 2} .6702576{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .3749299{col 67}{space 3} 3.002291
{txt}{space 8}182  {c |}{col 14}{res}{space 2} 1.699974{col 26}{space 2}  .674381{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .3782111{col 67}{space 3} 3.021736
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,545 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(3,751 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. 
. firthlogit merger c.pss_mod3##c.vote_share party_age norepres2 opposition office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res: -93.02924}
rescale:{col 16}penalized log likelihood = {res: -93.02924}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res: -93.02924}  
Iteration 1:{space 3}penalized log likelihood = {res:-89.299359}  
Iteration 2:{space 3}penalized log likelihood = {res:-86.099831}  
Iteration 3:{space 3}penalized log likelihood = {res:-86.049837}  
Iteration 4:{space 3}penalized log likelihood = {res: -86.04893}  
Iteration 5:{space 3}penalized log likelihood = {res:-86.048926}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,260
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}      9.93
{txt}Penalized log likelihood = {res}-86.048926{txt}{col 49}Prob > chi2{col 67}= {res}    0.2696

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 merger{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss_mod3 {c |}{col 25}{res}{space 2}-.1275695{col 37}{space 2} .1894574{col 48}{space 1}   -0.67{col 57}{space 3}0.501{col 65}{space 4}-.4988991{col 78}{space 3} .2437601
{txt}{space 13}vote_share {c |}{col 25}{res}{space 2}-.0717124{col 37}{space 2} .0462447{col 48}{space 1}   -1.55{col 57}{space 3}0.121{col 65}{space 4}-.1623505{col 78}{space 3} .0189256
{txt}{space 23} {c |}
c.pss_mod3#c.vote_share {c |}{col 25}{res}{space 2}-.0148783{col 37}{space 2} .0326996{col 48}{space 1}   -0.45{col 57}{space 3}0.649{col 65}{space 4}-.0789682{col 78}{space 3} .0492116
{txt}{space 23} {c |}
{space 14}party_age {c |}{col 25}{res}{space 2}-.0065297{col 37}{space 2} .0085102{col 48}{space 1}   -0.77{col 57}{space 3}0.443{col 65}{space 4}-.0232094{col 78}{space 3}   .01015
{txt}{space 14}norepres2 {c |}{col 25}{res}{space 2} .3672243{col 37}{space 2} .4863914{col 48}{space 1}    0.75{col 57}{space 3}0.450{col 65}{space 4}-.5860854{col 78}{space 3} 1.320534
{txt}{space 13}opposition {c |}{col 25}{res}{space 2} .8516365{col 37}{space 2} .9901382{col 48}{space 1}    0.86{col 57}{space 3}0.390{col 65}{space 4}-1.088999{col 78}{space 3} 2.792272
{txt}{space 13}office_exp {c |}{col 25}{res}{space 2} 1.347781{col 37}{space 2}  1.23054{col 48}{space 1}    1.10{col 57}{space 3}0.273{col 65}{space 4}-1.064032{col 78}{space 3} 3.759595
{txt}{space 11}alliance_exp {c |}{col 25}{res}{space 2} .9368334{col 37}{space 2} .6748035{col 48}{space 1}    1.39{col 57}{space 3}0.165{col 65}{space 4}-.3857571{col 78}{space 3} 2.259424
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-4.337212{col 37}{space 2} 1.069002{col 48}{space 1}   -4.06{col 57}{space 3}0.000{col 65}{space 4}-6.432418{col 78}{space 3}-2.242007
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,238       98.25       98.25
{txt}          1 {c |}{res}         22        1.75      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,260      100.00
{txt}
{com}. est store mod4
{txt}
{com}. firthfit
{txt}(2,673 missing values generated)
(2,673 missing values generated)
(2,673 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -93.029}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -86.049}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    190.098}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    236.348}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.011}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.080}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.011}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.075}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:     -0.022}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.237}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.014}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss_mod3) at(vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,260
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss_mod3     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1275695{col 26}{space 2} .1894574{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.4988991{col 67}{space 3} .2437601
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1424478{col 26}{space 2}  .172091{col 37}{space 1}   -0.83{col 46}{space 3}0.408{col 54}{space 4}-.4797398{col 67}{space 3} .1948443
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1573261{col 26}{space 2}  .159609{col 37}{space 1}   -0.99{col 46}{space 3}0.324{col 54}{space 4}-.4701539{col 67}{space 3} .1555018
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1722044{col 26}{space 2} .1532099{col 37}{space 1}   -1.12{col 46}{space 3}0.261{col 54}{space 4}-.4724902{col 67}{space 3} .1280815
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.1870827{col 26}{space 2} .1536556{col 37}{space 1}   -1.22{col 46}{space 3}0.223{col 54}{space 4}-.4882421{col 67}{space 3} .1140768
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.201961{col 26}{space 2} .1608892{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4} -.517298{col 67}{space 3} .1133761
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.2168392{col 26}{space 2} .1740665{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.5580033{col 67}{space 3} .1243248
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.2317175{col 26}{space 2} .1919674{col 37}{space 1}   -1.21{col 46}{space 3}0.227{col 54}{space 4}-.6079667{col 67}{space 3} .1445316
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.2465958{col 26}{space 2} .2134065{col 37}{space 1}   -1.16{col 46}{space 3}0.248{col 54}{space 4}-.6648649{col 67}{space 3} .1716732
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.2614741{col 26}{space 2} .2374273{col 37}{space 1}   -1.10{col 46}{space 3}0.271{col 54}{space 4} -.726823{col 67}{space 3} .2038748
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.2763524{col 26}{space 2} .2633242{col 37}{space 1}   -1.05{col 46}{space 3}0.294{col 54}{space 4}-.7924583{col 67}{space 3} .2397534
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2912307{col 26}{space 2}  .290596{col 37}{space 1}   -1.00{col 46}{space 3}0.316{col 54}{space 4}-.8607884{col 67}{space 3}  .278327
{txt}{space 9}13  {c |}{col 14}{res}{space 2} -.306109{col 26}{space 2} .3188902{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.9311224{col 67}{space 3} .3189043
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.3209873{col 26}{space 2} .3479575{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-1.002972{col 67}{space 3} .3609969
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.3358656{col 26}{space 2} .3776194{col 37}{space 1}   -0.89{col 46}{space 3}0.374{col 54}{space 4}-1.075986{col 67}{space 3} .4042548
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.3507439{col 26}{space 2} .4077462{col 37}{space 1}   -0.86{col 46}{space 3}0.390{col 54}{space 4}-1.149912{col 67}{space 3} .4484239
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.3656222{col 26}{space 2} .4382419{col 37}{space 1}   -0.83{col 46}{space 3}0.404{col 54}{space 4} -1.22456{col 67}{space 3} .4933161
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.3805005{col 26}{space 2} .4690346{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}-1.299791{col 67}{space 3} .5387905
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.3953788{col 26}{space 2} .5000696{col 37}{space 1}   -0.79{col 46}{space 3}0.429{col 54}{space 4}-1.375497{col 67}{space 3} .5847396
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4102571{col 26}{space 2} .5313042{col 37}{space 1}   -0.77{col 46}{space 3}0.440{col 54}{space 4}-1.451594{col 67}{space 3}   .63108
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.4251354{col 26}{space 2} .5627053{col 37}{space 1}   -0.76{col 46}{space 3}0.450{col 54}{space 4}-1.528018{col 67}{space 3} .6777468
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.4400137{col 26}{space 2} .5942465{col 37}{space 1}   -0.74{col 46}{space 3}0.459{col 54}{space 4}-1.604715{col 67}{space 3} .7246881
{txt}{space 9}23  {c |}{col 14}{res}{space 2} -.454892{col 26}{space 2} .6259066{col 37}{space 1}   -0.73{col 46}{space 3}0.467{col 54}{space 4}-1.681646{col 67}{space 3} .7718624
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.4697702{col 26}{space 2} .6576684{col 37}{space 1}   -0.71{col 46}{space 3}0.475{col 54}{space 4}-1.758777{col 67}{space 3} .8192361
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.4846485{col 26}{space 2} .6895179{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-1.836079{col 67}{space 3} .8667817
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.4995268{col 26}{space 2} .7214434{col 37}{space 1}   -0.69{col 46}{space 3}0.489{col 54}{space 4} -1.91353{col 67}{space 3} .9144763
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.5144051{col 26}{space 2} .7534354{col 37}{space 1}   -0.68{col 46}{space 3}0.495{col 54}{space 4}-1.991111{col 67}{space 3} .9623011
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.5292834{col 26}{space 2} .7854856{col 37}{space 1}   -0.67{col 46}{space 3}0.500{col 54}{space 4}-2.068807{col 67}{space 3}  1.01024
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.5441617{col 26}{space 2} .8175873{col 37}{space 1}   -0.67{col 46}{space 3}0.506{col 54}{space 4}-2.146603{col 67}{space 3}  1.05828
{txt}{space 9}30  {c |}{col 14}{res}{space 2}  -.55904{col 26}{space 2} .8497345{col 37}{space 1}   -0.66{col 46}{space 3}0.511{col 54}{space 4}-2.224489{col 67}{space 3} 1.106409
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.5739183{col 26}{space 2} .8819224{col 37}{space 1}   -0.65{col 46}{space 3}0.515{col 54}{space 4}-2.302454{col 67}{space 3} 1.154618
{txt}{space 9}32  {c |}{col 14}{res}{space 2}-.5887966{col 26}{space 2} .9141465{col 37}{space 1}   -0.64{col 46}{space 3}0.520{col 54}{space 4}-2.380491{col 67}{space 3} 1.202898
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.6036749{col 26}{space 2} .9464033{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-2.458591{col 67}{space 3} 1.251242
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.6185532{col 26}{space 2} .9786895{col 37}{space 1}   -0.63{col 46}{space 3}0.527{col 54}{space 4}-2.536749{col 67}{space 3} 1.299643
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.6334315{col 26}{space 2} 1.011002{col 37}{space 1}   -0.63{col 46}{space 3}0.531{col 54}{space 4} -2.61496{col 67}{space 3} 1.348097
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.6483098{col 26}{space 2} 1.043339{col 37}{space 1}   -0.62{col 46}{space 3}0.534{col 54}{space 4}-2.693217{col 67}{space 3} 1.396597
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.6631881{col 26}{space 2} 1.075698{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-2.771517{col 67}{space 3} 1.445141
{txt}{space 9}38  {c |}{col 14}{res}{space 2}-.6780664{col 26}{space 2} 1.108077{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4}-2.849857{col 67}{space 3} 1.493724
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.6929447{col 26}{space 2} 1.140474{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4}-2.928232{col 67}{space 3} 1.542343
{txt}{space 9}40  {c |}{col 14}{res}{space 2} -.707823{col 26}{space 2} 1.172888{col 37}{space 1}   -0.60{col 46}{space 3}0.546{col 54}{space 4}-3.006641{col 67}{space 3} 1.590995
{txt}{space 9}41  {c |}{col 14}{res}{space 2}-.7227012{col 26}{space 2} 1.205317{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4}-3.085079{col 67}{space 3} 1.639677
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.7375795{col 26}{space 2} 1.237761{col 37}{space 1}   -0.60{col 46}{space 3}0.551{col 54}{space 4}-3.163546{col 67}{space 3} 1.688386
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-.7524578{col 26}{space 2} 1.270217{col 37}{space 1}   -0.59{col 46}{space 3}0.554{col 54}{space 4}-3.242038{col 67}{space 3} 1.737122
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.7673361{col 26}{space 2} 1.302686{col 37}{space 1}   -0.59{col 46}{space 3}0.556{col 54}{space 4}-3.320554{col 67}{space 3} 1.785881
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.7822144{col 26}{space 2} 1.335166{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4}-3.399092{col 67}{space 3} 1.834663
{txt}{space 9}46  {c |}{col 14}{res}{space 2}-.7970927{col 26}{space 2} 1.367657{col 37}{space 1}   -0.58{col 46}{space 3}0.560{col 54}{space 4} -3.47765{col 67}{space 3} 1.883465
{txt}{space 9}47  {c |}{col 14}{res}{space 2} -.811971{col 26}{space 2} 1.400157{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-3.556228{col 67}{space 3} 1.932286
{txt}{space 9}48  {c |}{col 14}{res}{space 2}-.8268493{col 26}{space 2} 1.432666{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-3.634823{col 67}{space 3} 1.981125
{txt}{space 9}49  {c |}{col 14}{res}{space 2}-.8417276{col 26}{space 2} 1.465184{col 37}{space 1}   -0.57{col 46}{space 3}0.566{col 54}{space 4}-3.713435{col 67}{space 3}  2.02998
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.8566059{col 26}{space 2}  1.49771{col 37}{space 1}   -0.57{col 46}{space 3}0.567{col 54}{space 4}-3.792063{col 67}{space 3} 2.078851
{txt}{space 9}51  {c |}{col 14}{res}{space 2}-.8714842{col 26}{space 2} 1.530243{col 37}{space 1}   -0.57{col 46}{space 3}0.569{col 54}{space 4}-3.870705{col 67}{space 3} 2.127737
{txt}{space 9}52  {c |}{col 14}{res}{space 2}-.8863625{col 26}{space 2} 1.562783{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-3.949361{col 67}{space 3} 2.176636
{txt}{space 9}53  {c |}{col 14}{res}{space 2}-.9012408{col 26}{space 2} 1.595329{col 37}{space 1}   -0.56{col 46}{space 3}0.572{col 54}{space 4}-4.028029{col 67}{space 3} 2.225548
{txt}{space 9}54  {c |}{col 14}{res}{space 2}-.9161191{col 26}{space 2} 1.627882{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4} -4.10671{col 67}{space 3} 2.274471
{txt}{space 9}55  {c |}{col 14}{res}{space 2}-.9309974{col 26}{space 2} 1.660441{col 37}{space 1}   -0.56{col 46}{space 3}0.575{col 54}{space 4}-4.185401{col 67}{space 3} 2.323407
{txt}{space 9}56  {c |}{col 14}{res}{space 2}-.9458757{col 26}{space 2} 1.693005{col 37}{space 1}   -0.56{col 46}{space 3}0.576{col 54}{space 4}-4.264104{col 67}{space 3} 2.372352
{txt}{space 9}57  {c |}{col 14}{res}{space 2} -.960754{col 26}{space 2} 1.725574{col 37}{space 1}   -0.56{col 46}{space 3}0.578{col 54}{space 4}-4.342816{col 67}{space 3} 2.421308
{txt}{space 9}58  {c |}{col 14}{res}{space 2}-.9756322{col 26}{space 2} 1.758148{col 37}{space 1}   -0.55{col 46}{space 3}0.579{col 54}{space 4}-4.421538{col 67}{space 3} 2.470274
{txt}{space 9}59  {c |}{col 14}{res}{space 2}-.9905105{col 26}{space 2} 1.790726{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-4.500269{col 67}{space 3} 2.519248
{txt}{space 9}60  {c |}{col 14}{res}{space 2}-1.005389{col 26}{space 2} 1.823309{col 37}{space 1}   -0.55{col 46}{space 3}0.581{col 54}{space 4}-4.579009{col 67}{space 3} 2.568231
{txt}{space 9}61  {c |}{col 14}{res}{space 2}-1.020267{col 26}{space 2} 1.855896{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-4.657756{col 67}{space 3} 2.617222
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,673 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(3,872 missing values generated)

{com}. 
. twoway hist vote_share if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. firthlogit merger c.pss_mod3##i.opposition party_age norepres2 office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-146.92979}
rescale:{col 16}penalized log likelihood = {res:-146.92979}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-146.92979}  
Iteration 1:{space 3}penalized log likelihood = {res:-135.90252}  
Iteration 2:{space 3}penalized log likelihood = {res:-133.89101}  
Iteration 3:{space 3}penalized log likelihood = {res:-133.80699}  
Iteration 4:{space 3}penalized log likelihood = {res:-133.80643}  
Iteration 5:{space 3}penalized log likelihood = {res:-133.80643}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,388
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     24.82
{txt}Penalized log likelihood = {res}-133.80643{txt}{col 49}Prob > chi2{col 67}= {res}    0.0008

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               merger{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}pss_mod3 {c |}{col 23}{res}{space 2} .2277149{col 35}{space 2} .4234417{col 46}{space 1}    0.54{col 55}{space 3}0.591{col 63}{space 4}-.6022155{col 76}{space 3} 1.057645
{txt}{space 21} {c |}
{space 11}opposition {c |}
{space 10}Opposition  {c |}{col 23}{res}{space 2} 1.535995{col 35}{space 2} .9505843{col 46}{space 1}    1.62{col 55}{space 3}0.106{col 63}{space 4}-.3271162{col 76}{space 3} 3.399106
{txt}{space 21} {c |}
opposition#c.pss_mod3 {c |}
{space 10}Opposition  {c |}{col 23}{res}{space 2}-.3685431{col 35}{space 2} .4380156{col 46}{space 1}   -0.84{col 55}{space 3}0.400{col 63}{space 4}-1.227038{col 76}{space 3} .4899516
{txt}{space 21} {c |}
{space 12}party_age {c |}{col 23}{res}{space 2}-.0053616{col 35}{space 2} .0061837{col 46}{space 1}   -0.87{col 55}{space 3}0.386{col 63}{space 4}-.0174815{col 76}{space 3} .0067583
{txt}{space 12}norepres2 {c |}{col 23}{res}{space 2} .3177325{col 35}{space 2} .4283215{col 46}{space 1}    0.74{col 55}{space 3}0.458{col 63}{space 4}-.5217622{col 76}{space 3} 1.157227
{txt}{space 11}office_exp {c |}{col 23}{res}{space 2} .0633789{col 35}{space 2} .8981912{col 46}{space 1}    0.07{col 55}{space 3}0.944{col 63}{space 4}-1.697044{col 76}{space 3} 1.823801
{txt}{space 9}alliance_exp {c |}{col 23}{res}{space 2} 1.778666{col 35}{space 2} .4111844{col 46}{space 1}    4.33{col 55}{space 3}0.000{col 63}{space 4} .9727597{col 76}{space 3} 2.584573
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-5.204755{col 35}{space 2}  1.00339{col 46}{space 1}   -5.19{col 55}{space 3}0.000{col 63}{space 4}-7.171362{col 76}{space 3}-3.238147
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,354       97.55       97.55
{txt}          1 {c |}{res}         34        2.45      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,388      100.00
{txt}
{com}. est store mod5
{txt}
{com}. firthfit
{txt}(2,545 missing values generated)
(2,545 missing values generated)
(2,545 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -146.930}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -133.806}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    287.613}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    339.969}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.019}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.098}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.026}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.089}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.021}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.202}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.028}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss_mod3) at(opposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,388
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss_mod3     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2277149{col 26}{space 2} .4234417{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.6022155{col 67}{space 3} 1.057645
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1408282{col 26}{space 2} .1228229{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-.3815566{col 67}{space 3} .0999002
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: opposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA7.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5 ,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA7.csv", replace
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. **Replicate Figure A8
. 
. xtmixed nicheness c.l.pss_cg##i.niche_party_previous vote_loss l.vote_share party_age lopposition i.decade || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -3476.001}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -3476.001}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,247
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       168

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.4
{txt}{col 63}max{col 67}={col 69}{res}        21

{col 49}{txt}Wald chi2({res}12{txt}){col 67}={col 70}{res}    27.92
{txt}Log likelihood = {res} -3476.001{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0057

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                     nicheness{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}pss_cg {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} .0251096{col 44}{space 2} .1727286{col 55}{space 1}    0.15{col 64}{space 3}0.884{col 72}{space 4}-.3134323{col 85}{space 3} .3636515
{txt}{space 30} {c |}
{space 10}niche_party_previous {c |}
{space 23}NP t-1  {c |}{col 32}{res}{space 2} .4308135{col 44}{space 2} .3287576{col 55}{space 1}    1.31{col 64}{space 3}0.190{col 72}{space 4}-.2135396{col 85}{space 3} 1.075167
{txt}{space 30} {c |}
niche_party_previous#cL.pss_cg {c |}
{space 23}NP t-1  {c |}{col 32}{res}{space 2}-.0874552{col 44}{space 2} .3267085{col 55}{space 1}   -0.27{col 64}{space 3}0.789{col 72}{space 4}-.7277921{col 85}{space 3} .5528816
{txt}{space 30} {c |}
{space 21}vote_loss {c |}{col 32}{res}{space 2} .0138587{col 44}{space 2} .0264781{col 55}{space 1}    0.52{col 64}{space 3}0.601{col 72}{space 4}-.0380374{col 85}{space 3} .0657549
{txt}{space 30} {c |}
{space 20}vote_share {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} -.053056{col 44}{space 2} .0179404{col 55}{space 1}   -2.96{col 64}{space 3}0.003{col 72}{space 4}-.0882184{col 85}{space 3}-.0178936
{txt}{space 30} {c |}
{space 21}party_age {c |}{col 32}{res}{space 2}-.0149015{col 44}{space 2} .0082049{col 55}{space 1}   -1.82{col 64}{space 3}0.069{col 72}{space 4}-.0309828{col 85}{space 3} .0011798
{txt}{space 19}lopposition {c |}{col 32}{res}{space 2} .1311383{col 44}{space 2} .2790923{col 55}{space 1}    0.47{col 64}{space 3}0.638{col 72}{space 4}-.4158726{col 85}{space 3} .6781493
{txt}{space 30} {c |}
{space 24}decade {c |}
{space 20}1960-1969  {c |}{col 32}{res}{space 2}  .600491{col 44}{space 2}  .400942{col 55}{space 1}    1.50{col 64}{space 3}0.134{col 72}{space 4}-.1853408{col 85}{space 3} 1.386323
{txt}{space 20}1970-1979  {c |}{col 32}{res}{space 2} .1370627{col 44}{space 2} .4135895{col 55}{space 1}    0.33{col 64}{space 3}0.740{col 72}{space 4}-.6735578{col 85}{space 3} .9476831
{txt}{space 20}1980-1989  {c |}{col 32}{res}{space 2} .4534706{col 44}{space 2} .4432839{col 55}{space 1}    1.02{col 64}{space 3}0.306{col 72}{space 4}  -.41535{col 85}{space 3} 1.322291
{txt}{space 20}1990-1999  {c |}{col 32}{res}{space 2} .2125534{col 44}{space 2} .4945698{col 55}{space 1}    0.43{col 64}{space 3}0.667{col 72}{space 4}-.7567855{col 85}{space 3} 1.181892
{txt}{space 17}2000 onwards  {c |}{col 32}{res}{space 2} .3625702{col 44}{space 2}  .584775{col 55}{space 1}    0.62{col 64}{space 3}0.535{col 72}{space 4}-.7835678{col 85}{space 3} 1.508708
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}  3.77273{col 44}{space 2} .5635627{col 55}{space 1}    6.69{col 64}{space 3}0.000{col 72}{space 4} 2.668167{col 85}{space 3} 4.877292
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.825706{col 44} 1.588418{col 58} 7.157461{col 70} 13.48865
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}  12.2796{col 44} .5396305{col 58} 11.26621{col 70} 13.38414
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}146.64{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(niche_party_previous=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,247

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_cg     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0251096{col 26}{space 2} .1727286{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4}-.3134323{col 67}{space 3} .3636515
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0623456{col 26}{space 2} .3187289{col 37}{space 1}   -0.20{col 46}{space 3}0.845{col 54}{space 4}-.6870428{col 67}{space 3} .5623516
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss_cg##i.niche_party_previous##c.party_age  vote_loss l.vote_share lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3473.9756}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-3473.9756}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,247
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       168

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.4
{txt}{col 63}max{col 67}={col 69}{res}        21

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    31.90
{txt}Log likelihood = {res}-3473.9756{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0066

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                 nicheness{col 44}{c |}      Coef.{col 56}   Std. Err.{col 68}      z{col 76}   P>|z|{col 84}     [95% Con{col 97}f. Interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss_cg {c |}
{space 39}L1. {c |}{col 44}{res}{space 2}   .39636{col 56}{space 2} .2873235{col 67}{space 1}    1.38{col 76}{space 3}0.168{col 84}{space 4}-.1667838{col 97}{space 3} .9595037
{txt}{space 42} {c |}
{space 22}niche_party_previous {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2} 1.018189{col 56}{space 2} .5778278{col 67}{space 1}    1.76{col 76}{space 3}0.078{col 84}{space 4}-.1143331{col 97}{space 3}  2.15071
{txt}{space 42} {c |}
{space 12}niche_party_previous#cL.pss_cg {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2}-.1462259{col 56}{space 2} .5712682{col 67}{space 1}   -0.26{col 76}{space 3}0.798{col 84}{space 4}-1.265891{col 97}{space 3} .9734392
{txt}{space 42} {c |}
{space 33}party_age {c |}{col 44}{res}{space 2}-.0117411{col 56}{space 2} .0084185{col 67}{space 1}   -1.39{col 76}{space 3}0.163{col 84}{space 4} -.028241{col 97}{space 3} .0047588
{txt}{space 42} {c |}
{space 21}cL.pss_cg#c.party_age {c |}{col 44}{res}{space 2}-.0074773{col 56}{space 2} .0045327{col 67}{space 1}   -1.65{col 76}{space 3}0.099{col 84}{space 4}-.0163612{col 97}{space 3} .0014066
{txt}{space 42} {c |}
{space 10}niche_party_previous#c.party_age {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2}-.0121175{col 56}{space 2} .0100232{col 67}{space 1}   -1.21{col 76}{space 3}0.227{col 84}{space 4}-.0317626{col 97}{space 3} .0075276
{txt}{space 42} {c |}
niche_party_previous#cL.pss_cg#c.party_age {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2} .0013556{col 56}{space 2} .0112418{col 67}{space 1}    0.12{col 76}{space 3}0.904{col 84}{space 4}-.0206779{col 97}{space 3} .0233891
{txt}{space 42} {c |}
{space 33}vote_loss {c |}{col 44}{res}{space 2}  .013835{col 56}{space 2}  .026437{col 67}{space 1}    0.52{col 76}{space 3}0.601{col 84}{space 4}-.0379805{col 97}{space 3} .0656505
{txt}{space 42} {c |}
{space 32}vote_share {c |}
{space 39}L1. {c |}{col 44}{res}{space 2} -.053246{col 56}{space 2} .0179468{col 67}{space 1}   -2.97{col 76}{space 3}0.003{col 84}{space 4}-.0884212{col 97}{space 3}-.0180709
{txt}{space 42} {c |}
{space 31}lopposition {c |}{col 44}{res}{space 2} .1214742{col 56}{space 2} .2786891{col 67}{space 1}    0.44{col 76}{space 3}0.663{col 84}{space 4}-.4247465{col 97}{space 3} .6676949
{txt}{space 42} {c |}
{space 36}decade {c |}
{space 32}1960-1969  {c |}{col 44}{res}{space 2} .5840722{col 56}{space 2} .4003575{col 67}{space 1}    1.46{col 76}{space 3}0.145{col 84}{space 4}-.2006141{col 97}{space 3} 1.368758
{txt}{space 32}1970-1979  {c |}{col 44}{res}{space 2} .1215357{col 56}{space 2} .4133354{col 67}{space 1}    0.29{col 76}{space 3}0.769{col 84}{space 4}-.6885867{col 97}{space 3} .9316581
{txt}{space 32}1980-1989  {c |}{col 44}{res}{space 2} .4610012{col 56}{space 2} .4429305{col 67}{space 1}    1.04{col 76}{space 3}0.298{col 84}{space 4}-.4071267{col 97}{space 3} 1.329129
{txt}{space 32}1990-1999  {c |}{col 44}{res}{space 2} .2632488{col 56}{space 2} .4957821{col 67}{space 1}    0.53{col 76}{space 3}0.595{col 84}{space 4}-.7084663{col 97}{space 3} 1.234964
{txt}{space 29}2000 onwards  {c |}{col 44}{res}{space 2} .3998768{col 56}{space 2} .5854084{col 67}{space 1}    0.68{col 76}{space 3}0.495{col 84}{space 4}-.7475026{col 97}{space 3} 1.547256
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2} 3.632535{col 56}{space 2} .5706924{col 67}{space 1}    6.37{col 76}{space 3}0.000{col 84}{space 4} 2.513998{col 97}{space 3} 4.751072
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.870355{col 44} 1.598442{col 58} 7.185981{col 70}  13.5575
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 12.22877{col 44} .5377442{col 58} 11.21895{col 70} 13.32948
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}144.22{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(niche_party_previous=(0 1) party_age=(1 25 50 75)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,247

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_cg     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3888827{col 26}{space 2} .2837138{col 37}{space 1}    1.37{col 46}{space 3}0.170{col 54}{space 4}-.1671862{col 67}{space 3} .9449516
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2094275{col 26}{space 2} .2082071{col 37}{space 1}    1.01{col 46}{space 3}0.314{col 54}{space 4} -.198651{col 67}{space 3}  .617506
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .022495{col 26}{space 2} .1727046{col 37}{space 1}    0.13{col 46}{space 3}0.896{col 54}{space 4}-.3159998{col 67}{space 3} .3609899
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1644374{col 26}{space 2} .2049021{col 37}{space 1}   -0.80{col 46}{space 3}0.422{col 54}{space 4}-.5660381{col 67}{space 3} .2371633
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2440124{col 26}{space 2} .5422184{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-.8187161{col 67}{space 3} 1.306741
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0970911{col 26}{space 2} .3650191{col 37}{space 1}    0.27{col 46}{space 3}0.790{col 54}{space 4}-.6183332{col 67}{space 3} .8125153
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.055952{col 26}{space 2} .3366217{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.7157183{col 67}{space 3} .6038144
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.208995{col 26}{space 2} .4938985{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-1.177018{col 67}{space 3} .7590283
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "party_age=1" 6 "party_age=25" 7 "party_age=50" 8 "party_age=75")) ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous party_age{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss_cg##i.niche_party_previous##c.leaderdom  vote_loss l.vote_share party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2044.6724}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-2044.6724}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       911
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}        92

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       9.9
{txt}{col 63}max{col 67}={col 69}{res}        21

{col 49}{txt}Wald chi2({res}16{txt}){col 67}={col 70}{res}    31.58
{txt}Log likelihood = {res}-2044.6724{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0113

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                 nicheness{col 44}{c |}      Coef.{col 56}   Std. Err.{col 68}      z{col 76}   P>|z|{col 84}     [95% Con{col 97}f. Interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss_cg {c |}
{space 39}L1. {c |}{col 44}{res}{space 2}-.6165985{col 56}{space 2} .4068477{col 67}{space 1}   -1.52{col 76}{space 3}0.130{col 84}{space 4}-1.414005{col 97}{space 3} .1808084
{txt}{space 42} {c |}
{space 22}niche_party_previous {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2} .7969675{col 56}{space 2} .8691025{col 67}{space 1}    0.92{col 76}{space 3}0.359{col 84}{space 4}-.9064421{col 97}{space 3} 2.500377
{txt}{space 42} {c |}
{space 12}niche_party_previous#cL.pss_cg {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2}  -.14351{col 56}{space 2} 1.050282{col 67}{space 1}   -0.14{col 76}{space 3}0.891{col 84}{space 4}-2.202024{col 97}{space 3} 1.915004
{txt}{space 42} {c |}
{space 33}leaderdom {c |}{col 44}{res}{space 2}-.0400768{col 56}{space 2} .0394025{col 67}{space 1}   -1.02{col 76}{space 3}0.309{col 84}{space 4}-.1173042{col 97}{space 3} .0371506
{txt}{space 42} {c |}
{space 21}cL.pss_cg#c.leaderdom {c |}{col 44}{res}{space 2} .0275399{col 56}{space 2} .0217442{col 67}{space 1}    1.27{col 76}{space 3}0.205{col 84}{space 4}-.0150779{col 97}{space 3} .0701577
{txt}{space 42} {c |}
{space 10}niche_party_previous#c.leaderdom {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2}-.0274158{col 56}{space 2} .0467166{col 67}{space 1}   -0.59{col 76}{space 3}0.557{col 84}{space 4}-.1189786{col 97}{space 3} .0641471
{txt}{space 42} {c |}
niche_party_previous#cL.pss_cg#c.leaderdom {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2}-.0001333{col 56}{space 2} .0574444{col 67}{space 1}   -0.00{col 76}{space 3}0.998{col 84}{space 4}-.1127222{col 97}{space 3} .1124556
{txt}{space 42} {c |}
{space 33}vote_loss {c |}{col 44}{res}{space 2} -.001794{col 56}{space 2} .0176419{col 67}{space 1}   -0.10{col 76}{space 3}0.919{col 84}{space 4}-.0363715{col 97}{space 3} .0327836
{txt}{space 42} {c |}
{space 32}vote_share {c |}
{space 39}L1. {c |}{col 44}{res}{space 2} -.035918{col 56}{space 2} .0120457{col 67}{space 1}   -2.98{col 76}{space 3}0.003{col 84}{space 4}-.0595271{col 97}{space 3}-.0123088
{txt}{space 42} {c |}
{space 33}party_age {c |}{col 44}{res}{space 2}-.0122882{col 56}{space 2} .0057575{col 67}{space 1}   -2.13{col 76}{space 3}0.033{col 84}{space 4}-.0235726{col 97}{space 3}-.0010037
{txt}{space 31}lopposition {c |}{col 44}{res}{space 2}-.1604584{col 56}{space 2} .1747425{col 67}{space 1}   -0.92{col 76}{space 3}0.358{col 84}{space 4}-.5029475{col 97}{space 3} .1820306
{txt}{space 42} {c |}
{space 36}decade {c |}
{space 32}1960-1969  {c |}{col 44}{res}{space 2}-.2103251{col 56}{space 2} .2740467{col 67}{space 1}   -0.77{col 76}{space 3}0.443{col 84}{space 4}-.7474468{col 97}{space 3} .3267966
{txt}{space 32}1970-1979  {c |}{col 44}{res}{space 2} .0897554{col 56}{space 2} .2812758{col 67}{space 1}    0.32{col 76}{space 3}0.750{col 84}{space 4} -.461535{col 97}{space 3} .6410458
{txt}{space 32}1980-1989  {c |}{col 44}{res}{space 2}-.1038346{col 56}{space 2} .3009606{col 67}{space 1}   -0.35{col 76}{space 3}0.730{col 84}{space 4}-.6937066{col 97}{space 3} .4860374
{txt}{space 32}1990-1999  {c |}{col 44}{res}{space 2}-.0079284{col 56}{space 2} .3426761{col 67}{space 1}   -0.02{col 76}{space 3}0.982{col 84}{space 4}-.6795612{col 97}{space 3} .6637045
{txt}{space 29}2000 onwards  {c |}{col 44}{res}{space 2} .1968138{col 56}{space 2} .4181929{col 67}{space 1}    0.47{col 76}{space 3}0.638{col 84}{space 4}-.6228291{col 97}{space 3} 1.016457
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2} 4.266112{col 56}{space 2}  .769377{col 67}{space 1}    5.54{col 76}{space 3}0.000{col 84}{space 4}  2.75816{col 97}{space 3} 5.774063
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.836207{col 44} .5614041{col 58} 1.924197{col 70} 4.180482
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}  4.32503{col 44}  .215684{col 58}   3.9223{col 70} 4.769112
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}171.29{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(niche_party_previous=(0 1) leaderdom=(0 10 20 30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       911

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_cg     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6165985{col 26}{space 2} .4068477{col 37}{space 1}   -1.52{col 46}{space 3}0.130{col 54}{space 4}-1.414005{col 67}{space 3} .1808084
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.3411994{col 26}{space 2} .2108923{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-.7545408{col 67}{space 3}  .072142
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0658004{col 26}{space 2} .1341192{col 37}{space 1}   -0.49{col 46}{space 3}0.624{col 54}{space 4}-.3286691{col 67}{space 3} .1970684
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2095987{col 26}{space 2} .2933636{col 37}{space 1}    0.71{col 46}{space 3}0.475{col 54}{space 4}-.3653835{col 67}{space 3} .7845809
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.7601085{col 26}{space 2} 1.022343{col 37}{space 1}   -0.74{col 46}{space 3}0.457{col 54}{space 4}-2.763863{col 67}{space 3} 1.243646
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.4860423{col 26}{space 2} .4988589{col 37}{space 1}   -0.97{col 46}{space 3}0.330{col 54}{space 4}-1.463788{col 67}{space 3} .4917032
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.2119761{col 26}{space 2}   .29879{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4}-.7975937{col 67}{space 3} .3736416
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0620901{col 26}{space 2} .7526157{col 37}{space 1}    0.08{col 46}{space 3}0.934{col 54}{space 4}-1.413009{col 67}{space 3}  1.53719
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Lead. dom.=0" 6 "Lead. dom.=10" 7 "Lead. dom.=20" 8 "Lead. dom.=30")) ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous leaderdom{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss_cg##i.niche_party_previous##c.l.vote_share  vote_loss party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3475.3969}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-3475.3969}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,247
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       168

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.4
{txt}{col 63}max{col 67}={col 69}{res}        21

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    29.18
{txt}Log likelihood = {res}-3475.3969{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0152

{txt}{hline 45}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                   nicheness{col 46}{c |}      Coef.{col 58}   Std. Err.{col 70}      z{col 78}   P>|z|{col 86}     [95% Con{col 99}f. Interval]
{hline 45}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 38}pss_cg {c |}
{space 41}L1. {c |}{col 46}{res}{space 2} .1759104{col 58}{space 2} .2481305{col 69}{space 1}    0.71{col 78}{space 3}0.478{col 86}{space 4}-.3104164{col 99}{space 3} .6622372
{txt}{space 44} {c |}
{space 24}niche_party_previous {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2} .6002117{col 58}{space 2} .4823896{col 69}{space 1}    1.24{col 78}{space 3}0.213{col 86}{space 4}-.3452546{col 99}{space 3} 1.545678
{txt}{space 44} {c |}
{space 14}niche_party_previous#cL.pss_cg {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2}-.0356917{col 58}{space 2} .4469641{col 69}{space 1}   -0.08{col 78}{space 3}0.936{col 86}{space 4}-.9117252{col 99}{space 3} .8403418
{txt}{space 44} {c |}
{space 34}vote_share {c |}
{space 41}L1. {c |}{col 46}{res}{space 2}-.0558233{col 58}{space 2} .0189533{col 69}{space 1}   -2.95{col 78}{space 3}0.003{col 86}{space 4}-.0929709{col 99}{space 3}-.0186756
{txt}{space 44} {c |}
{space 21}cL.pss_cg#cL.vote_share {c |}{col 46}{res}{space 2} -.010363{col 58}{space 2} .0123317{col 69}{space 1}   -0.84{col 78}{space 3}0.401{col 86}{space 4}-.0345328{col 99}{space 3} .0138067
{txt}{space 44} {c |}
{space 10}niche_party_previous#cL.vote_share {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2}-.0123117{col 58}{space 2} .0235158{col 69}{space 1}   -0.52{col 78}{space 3}0.601{col 86}{space 4}-.0584019{col 99}{space 3} .0337785
{txt}{space 44} {c |}
niche_party_previous#cL.pss_cg#cL.vote_share {c |}
{space 37}NP t-1  {c |}{col 46}{res}{space 2}-.0112201{col 58}{space 2}  .030557{col 69}{space 1}   -0.37{col 78}{space 3}0.713{col 86}{space 4}-.0711107{col 99}{space 3} .0486705
{txt}{space 44} {c |}
{space 35}vote_loss {c |}{col 46}{res}{space 2} .0152156{col 58}{space 2} .0265335{col 69}{space 1}    0.57{col 78}{space 3}0.566{col 86}{space 4}-.0367892{col 99}{space 3} .0672203
{txt}{space 35}party_age {c |}{col 46}{res}{space 2}-.0141291{col 58}{space 2} .0082326{col 69}{space 1}   -1.72{col 78}{space 3}0.086{col 86}{space 4}-.0302646{col 99}{space 3} .0020065
{txt}{space 33}lopposition {c |}{col 46}{res}{space 2} .1331691{col 58}{space 2} .2794427{col 69}{space 1}    0.48{col 78}{space 3}0.634{col 86}{space 4}-.4145285{col 99}{space 3} .6808668
{txt}{space 44} {c |}
{space 38}decade {c |}
{space 34}1960-1969  {c |}{col 46}{res}{space 2} .5991285{col 58}{space 2} .4018646{col 69}{space 1}    1.49{col 78}{space 3}0.136{col 86}{space 4}-.1885116{col 99}{space 3} 1.386769
{txt}{space 34}1970-1979  {c |}{col 46}{res}{space 2} .1291435{col 58}{space 2} .4140603{col 69}{space 1}    0.31{col 78}{space 3}0.755{col 86}{space 4}-.6823998{col 99}{space 3} .9406868
{txt}{space 34}1980-1989  {c |}{col 46}{res}{space 2} .4616532{col 58}{space 2} .4433983{col 69}{space 1}    1.04{col 78}{space 3}0.298{col 86}{space 4}-.4073915{col 99}{space 3} 1.330698
{txt}{space 34}1990-1999  {c |}{col 46}{res}{space 2} .2046481{col 58}{space 2} .4955234{col 69}{space 1}    0.41{col 78}{space 3}0.680{col 86}{space 4}  -.76656{col 99}{space 3} 1.175856
{txt}{space 31}2000 onwards  {c |}{col 46}{res}{space 2} .3752475{col 58}{space 2} .5858715{col 69}{space 1}    0.64{col 78}{space 3}0.522{col 86}{space 4}-.7730395{col 99}{space 3} 1.523535
{txt}{space 44} {c |}
{space 39}_cons {c |}{col 46}{res}{space 2} 3.743537{col 58}{space 2} .5686258{col 69}{space 1}    6.58{col 78}{space 3}0.000{col 86}{space 4} 2.629051{col 99}{space 3} 4.858023
{txt}{hline 45}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.805574{col 44} 1.595223{col 58} 7.128448{col 70} 13.48811
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 12.26924{col 44} .5397698{col 58} 11.25564{col 70} 13.37412
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}143.56{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(niche_party_previous=(0 1) L.vote_share=(0 10 30 50)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,247

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_cg     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1759104{col 26}{space 2} .2481305{col 37}{space 1}    0.71{col 46}{space 3}0.478{col 54}{space 4}-.3104164{col 67}{space 3} .6622372
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0722803{col 26}{space 2} .1816118{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-.2836724{col 67}{space 3} .4282329
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  -.13498{col 26}{space 2} .2589481{col 37}{space 1}   -0.52{col 46}{space 3}0.602{col 54}{space 4} -.642509{col 67}{space 3} .3725489
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3422403{col 26}{space 2} .4719986{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4}-1.267341{col 67}{space 3}   .58286
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .1402188{col 26}{space 2} .4222256{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.6873282{col 67}{space 3} .9677657
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0756124{col 26}{space 2} .3205238{col 37}{space 1}   -0.24{col 46}{space 3}0.814{col 54}{space 4}-.7038275{col 67}{space 3} .5526028
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.5072746{col 26}{space 2}  .695271{col 37}{space 1}   -0.73{col 46}{space 3}0.466{col 54}{space 4}-1.869981{col 67}{space 3} .8554315
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.9389369{col 26}{space 2} 1.254217{col 37}{space 1}   -0.75{col 46}{space 3}0.454{col 54}{space 4}-3.397157{col 67}{space 3} 1.519283
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Size t-1=0" 6 "Size t-1=10" 7 "Size t-1=30" 8 "Size t-1=50")) ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous L.vote_share{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss_cg##i.niche_party_previous##i.lopposition vote_loss party_age l.vote_share i.decade || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3472.4245}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-3472.4245}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,247
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       168

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.4
{txt}{col 63}max{col 67}={col 69}{res}        21

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    34.79
{txt}Log likelihood = {res}-3472.4245{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0026

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                 nicheness{col 44}{c |}      Coef.{col 56}   Std. Err.{col 68}      z{col 76}   P>|z|{col 84}     [95% Con{col 97}f. Interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss_cg {c |}
{space 39}L1. {c |}{col 44}{res}{space 2} .4206643{col 56}{space 2} .2339752{col 67}{space 1}    1.80{col 76}{space 3}0.072{col 84}{space 4}-.0379187{col 97}{space 3} .8792472
{txt}{space 42} {c |}
{space 22}niche_party_previous {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2} .4999912{col 56}{space 2} .5000702{col 67}{space 1}    1.00{col 76}{space 3}0.317{col 84}{space 4}-.4801283{col 97}{space 3} 1.480111
{txt}{space 42} {c |}
{space 12}niche_party_previous#cL.pss_cg {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2}-.7910174{col 56}{space 2} .5648049{col 67}{space 1}   -1.40{col 76}{space 3}0.161{col 84}{space 4}-1.898015{col 97}{space 3} .3159799
{txt}{space 42} {c |}
{space 31}lopposition {c |}
{space 27}Opposition t-1  {c |}{col 44}{res}{space 2} .1712319{col 56}{space 2} .2946435{col 67}{space 1}    0.58{col 76}{space 3}0.561{col 84}{space 4}-.4062587{col 97}{space 3} .7487224
{txt}{space 42} {c |}
{space 21}lopposition#cL.pss_cg {c |}
{space 27}Opposition t-1  {c |}{col 44}{res}{space 2}-.7027085{col 56}{space 2} .2770482{col 67}{space 1}   -2.54{col 76}{space 3}0.011{col 84}{space 4}-1.245713{col 97}{space 3} -.159704
{txt}{space 42} {c |}
{space 10}niche_party_previous#lopposition {c |}
{space 20}NP t-1#Opposition t-1  {c |}{col 44}{res}{space 2}-.1118525{col 56}{space 2} .6314733{col 67}{space 1}   -0.18{col 76}{space 3}0.859{col 84}{space 4}-1.349518{col 97}{space 3} 1.125812
{txt}{space 42} {c |}
niche_party_previous#lopposition#cL.pss_cg {c |}
{space 20}NP t-1#Opposition t-1  {c |}{col 44}{res}{space 2} 1.125334{col 56}{space 2} .6831488{col 67}{space 1}    1.65{col 76}{space 3}0.100{col 84}{space 4}-.2136125{col 97}{space 3} 2.464281
{txt}{space 42} {c |}
{space 33}vote_loss {c |}{col 44}{res}{space 2}  .013332{col 56}{space 2} .0263957{col 67}{space 1}    0.51{col 76}{space 3}0.613{col 84}{space 4}-.0384025{col 97}{space 3} .0650666
{txt}{space 33}party_age {c |}{col 44}{res}{space 2}-.0157858{col 56}{space 2} .0082641{col 67}{space 1}   -1.91{col 76}{space 3}0.056{col 84}{space 4}-.0319831{col 97}{space 3} .0004116
{txt}{space 42} {c |}
{space 32}vote_share {c |}
{space 39}L1. {c |}{col 44}{res}{space 2}-.0499549{col 56}{space 2} .0180654{col 67}{space 1}   -2.77{col 76}{space 3}0.006{col 84}{space 4}-.0853624{col 97}{space 3}-.0145473
{txt}{space 42} {c |}
{space 36}decade {c |}
{space 32}1960-1969  {c |}{col 44}{res}{space 2} .6314207{col 56}{space 2} .4000325{col 67}{space 1}    1.58{col 76}{space 3}0.114{col 84}{space 4}-.1526285{col 97}{space 3}  1.41547
{txt}{space 32}1970-1979  {c |}{col 44}{res}{space 2}  .196738{col 56}{space 2} .4133401{col 67}{space 1}    0.48{col 76}{space 3}0.634{col 84}{space 4}-.6133937{col 97}{space 3}  1.00687
{txt}{space 32}1980-1989  {c |}{col 44}{res}{space 2} .4876791{col 56}{space 2} .4429927{col 67}{space 1}    1.10{col 76}{space 3}0.271{col 84}{space 4}-.3805706{col 97}{space 3} 1.355929
{txt}{space 32}1990-1999  {c |}{col 44}{res}{space 2} .2352313{col 56}{space 2} .4951992{col 67}{space 1}    0.48{col 76}{space 3}0.635{col 84}{space 4}-.7353413{col 97}{space 3} 1.205804
{txt}{space 29}2000 onwards  {c |}{col 44}{res}{space 2}  .414383{col 56}{space 2} .5856991{col 67}{space 1}    0.71{col 76}{space 3}0.479{col 84}{space 4}-.7335661{col 97}{space 3} 1.562332
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2} 3.696324{col 56}{space 2} .5663844{col 67}{space 1}    6.53{col 76}{space 3}0.000{col 84}{space 4} 2.586231{col 97}{space 3} 4.806417
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.990591{col 44} 1.610322{col 58} 7.284358{col 70} 13.70223
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 12.17776{col 44} .5353723{col 58} 11.17238{col 70}  13.2736
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}148.93{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(niche_party_previous=(0 1) lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,247

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_cg     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4206643{col 26}{space 2} .2339752{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0379187{col 67}{space 3} .8792472
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2820443{col 26}{space 2} .2097234{col 37}{space 1}   -1.34{col 46}{space 3}0.179{col 54}{space 4}-.6930947{col 67}{space 3} .1290061
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3703532{col 26}{space 2} .5548361{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4}-1.457812{col 67}{space 3} .7171056
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0522728{col 26}{space 2} .3722442{col 37}{space 1}    0.14{col 46}{space 3}0.888{col 54}{space 4}-.6773125{col 67}{space 3}  .781858
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13)) ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(3 "Government t-1" 4 "Opposition t-1")) ///
> graphregion(fcolor(white)) name(e, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d e, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA8.wmf", replace
{txt}
{com}. 
. **Replicate Table A8 and Figure A9
. 
. xtmelogit inalliance l.pss_cg norepres lopposition l.office_exp l.alliance_exp l.totparlparties party_age  if linalliance==1 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-75.115287}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-74.687991}  (backed up)
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -73.35226}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -73.35226}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-72.955026}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-72.952713}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-72.952712}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       248
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       13

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      19.1
{txt}{col 63}max{col 67}={col 69}{res}        88

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}7{txt}){col 67}={col 70}{res}    37.88
{txt}Log likelihood = {res}-72.952712{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    inalliance{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}pss_cg {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .5553405{col 28}{space 2} .1625361{col 39}{space 1}    3.42{col 48}{space 3}0.001{col 56}{space 4} .2367756{col 69}{space 3} .8739053
{txt}{space 14} {c |}
{space 6}norepres {c |}{col 16}{res}{space 2} 1.471663{col 28}{space 2} 1.177849{col 39}{space 1}    1.25{col 48}{space 3}0.212{col 56}{space 4}-.8368787{col 69}{space 3} 3.780205
{txt}{space 3}lopposition {c |}{col 16}{res}{space 2} .3657151{col 28}{space 2} .8625764{col 39}{space 1}    0.42{col 48}{space 3}0.672{col 56}{space 4}-1.324904{col 69}{space 3} 2.056334
{txt}{space 14} {c |}
{space 4}office_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} 1.024182{col 28}{space 2}  1.13036{col 39}{space 1}    0.91{col 48}{space 3}0.365{col 56}{space 4}-1.191282{col 69}{space 3} 3.239646
{txt}{space 14} {c |}
{space 2}alliance_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} 3.133093{col 28}{space 2} .9026156{col 39}{space 1}    3.47{col 48}{space 3}0.001{col 56}{space 4} 1.363999{col 69}{space 3} 4.902187
{txt}{space 14} {c |}
totparlparties {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.2324475{col 28}{space 2} .0779005{col 39}{space 1}   -2.98{col 48}{space 3}0.003{col 56}{space 4}-.3851297{col 69}{space 3}-.0797653
{txt}{space 14} {c |}
{space 5}party_age {c |}{col 16}{res}{space 2} .0120886{col 28}{space 2} .0083905{col 39}{space 1}    1.44{col 48}{space 3}0.150{col 56}{space 4}-.0043565{col 69}{space 3} .0285336
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-.0736836{col 28}{space 2} 1.492038{col 39}{space 1}   -0.05{col 48}{space 3}0.961{col 56}{space 4}-2.998025{col 69}{space 3} 2.850658
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.25e-16{col 44} 8.06e-09{col 58}        0{col 70}        .
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}0.00{col 55}{txt}Prob >= chibar2 = {col 73}{res}1.0000
{txt}
{com}. est store mod1
{txt}
{com}. 
. xtmelogit inalliance l.pss_cg l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age  if linalliance==0 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-131.90884}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-128.28827}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-128.10424}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-128.10424}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-128.09863}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-128.09862}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-128.09862}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,384
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        10
{txt}{col 63}avg{col 67}={col 69}{res}      69.2
{txt}{col 63}max{col 67}={col 69}{res}       184

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}    25.06
{txt}Log likelihood = {res}-128.09862{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0029

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    inalliance{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}pss_cg {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .3377078{col 28}{space 2} .1409522{col 39}{space 1}    2.40{col 48}{space 3}0.017{col 56}{space 4} .0614466{col 69}{space 3}  .613969
{txt}{space 14} {c |}
{space 4}advantager {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-1.260386{col 28}{space 2} .8598786{col 39}{space 1}   -1.47{col 48}{space 3}0.143{col 56}{space 4}-2.945717{col 69}{space 3} .4249449
{txt}{space 14} {c |}
{space 6}norepres {c |}{col 16}{res}{space 2} .4142799{col 28}{space 2} .9574854{col 39}{space 1}    0.43{col 48}{space 3}0.665{col 56}{space 4}-1.462357{col 69}{space 3} 2.290917
{txt}{space 3}lopposition {c |}{col 16}{res}{space 2}-.1544715{col 28}{space 2}  .664741{col 39}{space 1}   -0.23{col 48}{space 3}0.816{col 56}{space 4} -1.45734{col 69}{space 3} 1.148397
{txt}{space 14} {c |}
{space 4}office_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.8004071{col 28}{space 2} .8811141{col 39}{space 1}   -0.91{col 48}{space 3}0.364{col 56}{space 4}-2.527359{col 69}{space 3} .9265447
{txt}{space 14} {c |}
{space 2}alliance_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} 1.746183{col 28}{space 2} 1.568404{col 39}{space 1}    1.11{col 48}{space 3}0.266{col 56}{space 4}-1.327831{col 69}{space 3} 4.820198
{txt}{space 14} {c |}
totparlparties {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}  .218361{col 28}{space 2} .0969578{col 39}{space 1}    2.25{col 48}{space 3}0.024{col 56}{space 4} .0283272{col 69}{space 3} .4083947
{txt}{space 14} {c |}
{space 2}lr_extremity {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.1671816{col 28}{space 2} .1023648{col 39}{space 1}   -1.63{col 48}{space 3}0.102{col 56}{space 4}-.3678128{col 69}{space 3} .0334496
{txt}{space 14} {c |}
{space 5}party_age {c |}{col 16}{res}{space 2}-.0009081{col 28}{space 2} .0073427{col 39}{space 1}   -0.12{col 48}{space 3}0.902{col 56}{space 4}-.0152996{col 69}{space 3} .0134833
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-4.773107{col 28}{space 2} 1.442176{col 39}{space 1}   -3.31{col 48}{space 3}0.001{col 56}{space 4}-7.599721{col 69}{space 3}-1.946494
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.447499{col 44} 1.646112{col 58} .6549841{col 70} 9.145642
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}17.90{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod2
{txt}
{com}. 
. xtmelogit inalliance c.l.pss_cg##c.party_age l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity  if linalliance==0 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-131.95835}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-128.27903}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -128.0863}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -128.0863}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -128.0809}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-128.08089}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,384
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        10
{txt}{col 63}avg{col 67}={col 69}{res}      69.2
{txt}{col 63}max{col 67}={col 69}{res}       184

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}10{txt}){col 67}={col 70}{res}    24.96
{txt}Log likelihood = {res}-128.08089{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0054

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           inalliance{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss_cg {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .3127032{col 35}{space 2} .1937742{col 46}{space 1}    1.61{col 55}{space 3}0.107{col 63}{space 4}-.0670873{col 76}{space 3} .6924937
{txt}{space 21} {c |}
{space 12}party_age {c |}{col 23}{res}{space 2}-.0015093{col 35}{space 2} .0080253{col 46}{space 1}   -0.19{col 55}{space 3}0.851{col 63}{space 4}-.0172385{col 76}{space 3}   .01422
{txt}{space 21} {c |}
cL.pss_cg#c.party_age {c |}{col 23}{res}{space 2} .0009096{col 35}{space 2} .0048301{col 46}{space 1}    0.19{col 55}{space 3}0.851{col 63}{space 4}-.0085573{col 76}{space 3} .0103765
{txt}{space 21} {c |}
{space 11}advantager {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-1.249735{col 35}{space 2} .8619147{col 46}{space 1}   -1.45{col 55}{space 3}0.147{col 63}{space 4}-2.939056{col 76}{space 3} .4395872
{txt}{space 21} {c |}
{space 13}norepres {c |}{col 23}{res}{space 2} .4115475{col 35}{space 2} .9584921{col 46}{space 1}    0.43{col 55}{space 3}0.668{col 63}{space 4}-1.467063{col 76}{space 3} 2.290157
{txt}{space 10}lopposition {c |}{col 23}{res}{space 2}-.1638414{col 35}{space 2} .6653966{col 46}{space 1}   -0.25{col 55}{space 3}0.806{col 63}{space 4}-1.467995{col 76}{space 3} 1.140312
{txt}{space 21} {c |}
{space 11}office_exp {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.8295282{col 35}{space 2} .8942917{col 46}{space 1}   -0.93{col 55}{space 3}0.354{col 63}{space 4}-2.582308{col 76}{space 3} .9232514
{txt}{space 21} {c |}
{space 9}alliance_exp {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} 1.793258{col 35}{space 2} 1.590634{col 46}{space 1}    1.13{col 55}{space 3}0.260{col 63}{space 4}-1.324327{col 76}{space 3} 4.910843
{txt}{space 21} {c |}
{space 7}totparlparties {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .2160123{col 35}{space 2} .0979051{col 46}{space 1}    2.21{col 55}{space 3}0.027{col 63}{space 4} .0241218{col 76}{space 3} .4079029
{txt}{space 21} {c |}
{space 9}lr_extremity {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.1672574{col 35}{space 2} .1022334{col 46}{space 1}   -1.64{col 55}{space 3}0.102{col 63}{space 4}-.3676312{col 76}{space 3} .0331164
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}-4.729537{col 35}{space 2} 1.458652{col 46}{space 1}   -3.24{col 55}{space 3}0.001{col 63}{space 4}-7.588443{col 76}{space 3}-1.870632
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  2.45551{col 44} 1.648938{col 58} .6584731{col 70} 9.156836
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}17.80{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod3
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,384

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:63._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:64._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}63}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:66._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}65}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:67._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:68._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:71._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}70}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:72._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}71}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:73._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}72}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:74._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}73}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:75._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}74}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:76._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:77._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}76}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:78._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}77}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:79._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}78}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:80._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}79}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:81._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}80}{p_end}
{p2colreset}{...}

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{txt}{space 8}119  {c |}{col 14}{res}{space 2} .4200345{col 26}{space 2} .4593174{col 37}{space 1}    0.91{col 46}{space 3}0.360{col 54}{space 4}-.4802112{col 67}{space 3}  1.32028
{txt}{space 8}120  {c |}{col 14}{res}{space 2} .4209441{col 26}{space 2} .4639165{col 37}{space 1}    0.91{col 46}{space 3}0.364{col 54}{space 4}-.4883156{col 67}{space 3} 1.330204
{txt}{space 8}121  {c |}{col 14}{res}{space 2} .4218536{col 26}{space 2} .4685202{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.4964291{col 67}{space 3} 1.340136
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{txt}{space 8}124  {c |}{col 14}{res}{space 2} .4245824{col 26}{space 2} .4823579{col 37}{space 1}    0.88{col 46}{space 3}0.379{col 54}{space 4}-.5208217{col 67}{space 3} 1.369987
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{txt}{space 8}130  {c |}{col 14}{res}{space 2} .4300399{col 26}{space 2} .5101421{col 37}{space 1}    0.84{col 46}{space 3}0.399{col 54}{space 4}-.5698201{col 67}{space 3}   1.4299
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{txt}{space 8}134  {c |}{col 14}{res}{space 2} .4336783{col 26}{space 2} .5287362{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-.6026257{col 67}{space 3} 1.469982
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{txt}{space 8}138  {c |}{col 14}{res}{space 2} .4373166{col 26}{space 2} .5473807{col 37}{space 1}    0.80{col 46}{space 3}0.424{col 54}{space 4}-.6355298{col 67}{space 3} 1.510163
{txt}{space 8}139  {c |}{col 14}{res}{space 2} .4382262{col 26}{space 2} .5520491{col 37}{space 1}    0.79{col 46}{space 3}0.427{col 54}{space 4}-.6437701{col 67}{space 3} 1.520222
{txt}{space 8}140  {c |}{col 14}{res}{space 2} .4391358{col 26}{space 2} .5567202{col 37}{space 1}    0.79{col 46}{space 3}0.430{col 54}{space 4}-.6520158{col 67}{space 3} 1.530287
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{txt}{space 8}144  {c |}{col 14}{res}{space 2} .4427741{col 26}{space 2}  .575431{col 37}{space 1}    0.77{col 46}{space 3}0.442{col 54}{space 4}  -.68505{col 67}{space 3} 1.570598
{txt}{space 8}145  {c |}{col 14}{res}{space 2} .4436837{col 26}{space 2}  .580115{col 37}{space 1}    0.76{col 46}{space 3}0.444{col 54}{space 4}-.6933208{col 67}{space 3} 1.580688
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{txt}{space 8}147  {c |}{col 14}{res}{space 2} .4455029{col 26}{space 2}   .58949{col 37}{space 1}    0.76{col 46}{space 3}0.450{col 54}{space 4}-.7098762{col 67}{space 3} 1.600882
{txt}{space 8}148  {c |}{col 14}{res}{space 2} .4464125{col 26}{space 2} .5941809{col 37}{space 1}    0.75{col 46}{space 3}0.452{col 54}{space 4}-.7181607{col 67}{space 3} 1.610986
{txt}{space 8}149  {c |}{col 14}{res}{space 2} .4473221{col 26}{space 2}  .598874{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.7264495{col 67}{space 3} 1.621094
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{txt}{space 8}152  {c |}{col 14}{res}{space 2} .4500508{col 26}{space 2} .6129662{col 37}{space 1}    0.73{col 46}{space 3}0.463{col 54}{space 4}-.7513409{col 67}{space 3} 1.651443
{txt}{space 8}153  {c |}{col 14}{res}{space 2} .4509604{col 26}{space 2} .6176677{col 37}{space 1}    0.73{col 46}{space 3}0.465{col 54}{space 4} -.759646{col 67}{space 3} 1.661567
{txt}{space 8}154  {c |}{col 14}{res}{space 2}   .45187{col 26}{space 2} .6223712{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4} -.767955{col 67}{space 3} 1.671695
{txt}{space 8}155  {c |}{col 14}{res}{space 2} .4527796{col 26}{space 2} .6270765{col 37}{space 1}    0.72{col 46}{space 3}0.470{col 54}{space 4}-.7762678{col 67}{space 3} 1.681827
{txt}{space 8}156  {c |}{col 14}{res}{space 2} .4536892{col 26}{space 2} .6317838{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.7845843{col 67}{space 3} 1.691963
{txt}{space 8}157  {c |}{col 14}{res}{space 2} .4545988{col 26}{space 2} .6364929{col 37}{space 1}    0.71{col 46}{space 3}0.475{col 54}{space 4}-.7929044{col 67}{space 3} 1.702102
{txt}{space 8}158  {c |}{col 14}{res}{space 2} .4555083{col 26}{space 2} .6412038{col 37}{space 1}    0.71{col 46}{space 3}0.477{col 54}{space 4}-.8012281{col 67}{space 3} 1.712245
{txt}{space 8}159  {c |}{col 14}{res}{space 2} .4564179{col 26}{space 2} .6459165{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4}-.8095551{col 67}{space 3} 1.722391
{txt}{space 8}160  {c |}{col 14}{res}{space 2} .4573275{col 26}{space 2} .6506309{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.8178856{col 67}{space 3} 1.732541
{txt}{space 8}161  {c |}{col 14}{res}{space 2} .4582371{col 26}{space 2}  .655347{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.8262193{col 67}{space 3} 1.742694
{txt}{space 8}162  {c |}{col 14}{res}{space 2} .4591467{col 26}{space 2} .6600647{col 37}{space 1}    0.70{col 46}{space 3}0.487{col 54}{space 4}-.8345563{col 67}{space 3}  1.75285
{txt}{space 8}163  {c |}{col 14}{res}{space 2} .4600563{col 26}{space 2}  .664784{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.8428965{col 67}{space 3} 1.763009
{txt}{space 8}164  {c |}{col 14}{res}{space 2} .4609659{col 26}{space 2}  .669505{col 37}{space 1}    0.69{col 46}{space 3}0.491{col 54}{space 4}-.8512397{col 67}{space 3} 1.773171
{txt}{space 8}165  {c |}{col 14}{res}{space 2} .4618755{col 26}{space 2} .6742274{col 37}{space 1}    0.69{col 46}{space 3}0.493{col 54}{space 4} -.859586{col 67}{space 3} 1.783337
{txt}{space 8}166  {c |}{col 14}{res}{space 2}  .462785{col 26}{space 2} .6789514{col 37}{space 1}    0.68{col 46}{space 3}0.495{col 54}{space 4}-.8679353{col 67}{space 3} 1.793505
{txt}{space 8}167  {c |}{col 14}{res}{space 2} .4636946{col 26}{space 2} .6836769{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.8762875{col 67}{space 3} 1.803677
{txt}{space 8}168  {c |}{col 14}{res}{space 2} .4646042{col 26}{space 2} .6884038{col 37}{space 1}    0.67{col 46}{space 3}0.500{col 54}{space 4}-.8846425{col 67}{space 3} 1.813851
{txt}{space 8}169  {c |}{col 14}{res}{space 2} .4655138{col 26}{space 2} .6931322{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-.8930003{col 67}{space 3} 1.824028
{txt}{space 8}170  {c |}{col 14}{res}{space 2} .4664234{col 26}{space 2} .6978619{col 37}{space 1}    0.67{col 46}{space 3}0.504{col 54}{space 4}-.9013608{col 67}{space 3} 1.834208
{txt}{space 8}171  {c |}{col 14}{res}{space 2}  .467333{col 26}{space 2}  .702593{col 37}{space 1}    0.67{col 46}{space 3}0.506{col 54}{space 4} -.909724{col 67}{space 3}  1.84439
{txt}{space 8}172  {c |}{col 14}{res}{space 2} .4682426{col 26}{space 2} .7073255{col 37}{space 1}    0.66{col 46}{space 3}0.508{col 54}{space 4}-.9180899{col 67}{space 3} 1.854575
{txt}{space 8}173  {c |}{col 14}{res}{space 2} .4691522{col 26}{space 2} .7120592{col 37}{space 1}    0.66{col 46}{space 3}0.510{col 54}{space 4}-.9264583{col 67}{space 3} 1.864763
{txt}{space 8}174  {c |}{col 14}{res}{space 2} .4700617{col 26}{space 2} .7167943{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4}-.9348292{col 67}{space 3} 1.874953
{txt}{space 8}175  {c |}{col 14}{res}{space 2} .4709713{col 26}{space 2} .7215306{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4}-.9432026{col 67}{space 3} 1.885145
{txt}{space 8}176  {c |}{col 14}{res}{space 2} .4718809{col 26}{space 2} .7262681{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.9515784{col 67}{space 3}  1.89534
{txt}{space 8}177  {c |}{col 14}{res}{space 2} .4727905{col 26}{space 2} .7310069{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.9599566{col 67}{space 3} 1.905538
{txt}{space 8}178  {c |}{col 14}{res}{space 2} .4737001{col 26}{space 2} .7357468{col 37}{space 1}    0.64{col 46}{space 3}0.520{col 54}{space 4}-.9683371{col 67}{space 3} 1.915737
{txt}{space 8}179  {c |}{col 14}{res}{space 2} .4746097{col 26}{space 2} .7404879{col 37}{space 1}    0.64{col 46}{space 3}0.522{col 54}{space 4}  -.97672{col 67}{space 3} 1.925939
{txt}{space 8}180  {c |}{col 14}{res}{space 2} .4755193{col 26}{space 2} .7452302{col 37}{space 1}    0.64{col 46}{space 3}0.523{col 54}{space 4} -.985105{col 67}{space 3} 1.936144
{txt}{space 8}181  {c |}{col 14}{res}{space 2} .4764288{col 26}{space 2} .7499735{col 37}{space 1}    0.64{col 46}{space 3}0.525{col 54}{space 4}-.9934923{col 67}{space 3}  1.94635
{txt}{space 8}182  {c |}{col 14}{res}{space 2} .4773384{col 26}{space 2}  .754718{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-1.001882{col 67}{space 3} 1.956559
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,809 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(4,011 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. **Model 4 could only be estimated in MlWINN, please contact me for the script
. 
. xtmelogit inalliance c.l.pss_cg##c.l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age if linalliance==0 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-126.54305}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-123.14657}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-122.99872}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-122.99872}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-122.99538}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-122.99537}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,384
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        10
{txt}{col 63}avg{col 67}={col 69}{res}      69.2
{txt}{col 63}max{col 67}={col 69}{res}       184

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    24.85
{txt}Log likelihood = {res}-122.99537{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0096

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             inalliance{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}pss_cg {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-.0574809{col 37}{space 2} .2049154{col 48}{space 1}   -0.28{col 57}{space 3}0.779{col 65}{space 4}-.4591077{col 78}{space 3} .3441458
{txt}{space 23} {c |}
{space 13}vote_share {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-.0639175{col 37}{space 2} .0368285{col 48}{space 1}   -1.74{col 57}{space 3}0.083{col 65}{space 4}   -.1361{col 78}{space 3} .0082649
{txt}{space 23} {c |}
cL.pss_cg#cL.vote_share {c |}{col 25}{res}{space 2} .0568287{col 37}{space 2}  .021389{col 48}{space 1}    2.66{col 57}{space 3}0.008{col 65}{space 4} .0149071{col 78}{space 3} .0987502
{txt}{space 23} {c |}
{space 13}advantager {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-.5691292{col 37}{space 2}  .911739{col 48}{space 1}   -0.62{col 57}{space 3}0.532{col 65}{space 4}-2.356105{col 78}{space 3} 1.217847
{txt}{space 23} {c |}
{space 15}norepres {c |}{col 25}{res}{space 2} .7129526{col 37}{space 2} .9508121{col 48}{space 1}    0.75{col 57}{space 3}0.453{col 65}{space 4}-1.150605{col 78}{space 3}  2.57651
{txt}{space 12}lopposition {c |}{col 25}{res}{space 2}-.1376798{col 37}{space 2} .7007913{col 48}{space 1}   -0.20{col 57}{space 3}0.844{col 65}{space 4}-1.511205{col 78}{space 3} 1.235846
{txt}{space 23} {c |}
{space 13}office_exp {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-.6672308{col 37}{space 2}  .930154{col 48}{space 1}   -0.72{col 57}{space 3}0.473{col 65}{space 4}-2.490299{col 78}{space 3} 1.155838
{txt}{space 23} {c |}
{space 11}alliance_exp {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} .7635114{col 37}{space 2} 1.669537{col 48}{space 1}    0.46{col 57}{space 3}0.647{col 65}{space 4}-2.508721{col 78}{space 3} 4.035744
{txt}{space 23} {c |}
{space 9}totparlparties {c |}
{space 20}L1. {c |}{col 25}{res}{space 2} .1549837{col 37}{space 2} .1015112{col 48}{space 1}    1.53{col 57}{space 3}0.127{col 65}{space 4}-.0439746{col 78}{space 3}  .353942
{txt}{space 23} {c |}
{space 11}lr_extremity {c |}
{space 20}L1. {c |}{col 25}{res}{space 2}-.1479913{col 37}{space 2} .1003131{col 48}{space 1}   -1.48{col 57}{space 3}0.140{col 65}{space 4}-.3446014{col 78}{space 3} .0486188
{txt}{space 23} {c |}
{space 14}party_age {c |}{col 25}{res}{space 2}-.0000346{col 37}{space 2} .0075573{col 48}{space 1}   -0.00{col 57}{space 3}0.996{col 65}{space 4}-.0148467{col 78}{space 3} .0147775
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-4.339994{col 37}{space 2} 1.469758{col 48}{space 1}   -2.95{col 57}{space 3}0.003{col 65}{space 4}-7.220667{col 78}{space 3}-1.459321
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.399016{col 44} 1.613413{col 58} .6420566{col 70} 8.963814
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}18.00{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod5
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(L.vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,384

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{col 14}{c |}{col 26} Delta-method
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{txt}{space 9}50  {c |}{col 14}{res}{space 2} 2.727123{col 26}{space 2} .9196508{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4}  .924641{col 67}{space 3} 4.529606
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 2.783952{col 26}{space 2} .9407632{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .9400901{col 67}{space 3} 4.627814
{txt}{space 9}52  {c |}{col 14}{res}{space 2} 2.840781{col 26}{space 2} .9618878{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .9555153{col 67}{space 3} 4.726046
{txt}{space 9}53  {c |}{col 14}{res}{space 2} 2.897609{col 26}{space 2} .9830239{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .9709181{col 67}{space 3} 4.824301
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 2.954438{col 26}{space 2} 1.004171{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} .9862998{col 67}{space 3} 4.922576
{txt}{space 9}55  {c |}{col 14}{res}{space 2} 3.011267{col 26}{space 2} 1.025327{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} 1.001662{col 67}{space 3} 5.020872
{txt}{space 9}56  {c |}{col 14}{res}{space 2} 3.068095{col 26}{space 2} 1.046494{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} 1.017006{col 67}{space 3} 5.119185
{txt}{space 9}57  {c |}{col 14}{res}{space 2} 3.124924{col 26}{space 2} 1.067669{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} 1.032332{col 67}{space 3} 5.217516
{txt}{space 9}58  {c |}{col 14}{res}{space 2} 3.181753{col 26}{space 2} 1.088852{col 37}{space 1}    2.92{col 46}{space 3}0.003{col 54}{space 4} 1.047642{col 67}{space 3} 5.315864
{txt}{space 9}59  {c |}{col 14}{res}{space 2} 3.238581{col 26}{space 2} 1.110044{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} 1.062936{col 67}{space 3} 5.414227
{txt}{space 9}60  {c |}{col 14}{res}{space 2}  3.29541{col 26}{space 2} 1.131242{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} 1.078216{col 67}{space 3} 5.512604
{txt}{space 9}61  {c |}{col 14}{res}{space 2} 3.352239{col 26}{space 2} 1.152448{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} 1.093482{col 67}{space 3} 5.610996
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,809 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(4,132 missing values generated)

{com}. 
. twoway hist lsize if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size t-1",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(c, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss_cg##i.lopposition l.advantager norepres  l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age  if linalliance==0 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-131.90878}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -128.2846}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-128.10009}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-128.10009}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -128.0945}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-128.09449}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,384
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        10
{txt}{col 63}avg{col 67}={col 69}{res}      69.2
{txt}{col 63}max{col 67}={col 69}{res}       184

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}10{txt}){col 67}={col 70}{res}    25.05
{txt}Log likelihood = {res}-128.09449{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0052

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           inalliance{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss_cg {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .3533088{col 35}{space 2} .2219767{col 46}{space 1}    1.59{col 55}{space 3}0.111{col 63}{space 4}-.0817574{col 76}{space 3}  .788375
{txt}{space 21} {c |}
{space 10}lopposition {c |}
{space 6}Opposition t-1  {c |}{col 23}{res}{space 2}-.1402522{col 35}{space 2} .6834705{col 46}{space 1}   -0.21{col 55}{space 3}0.837{col 63}{space 4} -1.47983{col 76}{space 3} 1.199325
{txt}{space 21} {c |}
lopposition#cL.pss_cg {c |}
{space 6}Opposition t-1  {c |}{col 23}{res}{space 2}-.0246048{col 35}{space 2} .2706721{col 46}{space 1}   -0.09{col 55}{space 3}0.928{col 63}{space 4}-.5551124{col 76}{space 3} .5059028
{txt}{space 21} {c |}
{space 11}advantager {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-1.254701{col 35}{space 2} .8620986{col 46}{space 1}   -1.46{col 55}{space 3}0.146{col 63}{space 4}-2.944383{col 76}{space 3} .4349814
{txt}{space 21} {c |}
{space 13}norepres {c |}{col 23}{res}{space 2} .4197858{col 35}{space 2} .9588168{col 46}{space 1}    0.44{col 55}{space 3}0.662{col 63}{space 4}-1.459461{col 76}{space 3} 2.299032
{txt}{space 21} {c |}
{space 11}office_exp {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.8002985{col 35}{space 2} .8813681{col 46}{space 1}   -0.91{col 55}{space 3}0.364{col 63}{space 4}-2.527748{col 76}{space 3} .9271513
{txt}{space 21} {c |}
{space 9}alliance_exp {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} 1.751232{col 35}{space 2} 1.568771{col 46}{space 1}    1.12{col 55}{space 3}0.264{col 63}{space 4}-1.323503{col 76}{space 3} 4.825966
{txt}{space 21} {c |}
{space 7}totparlparties {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .2184914{col 35}{space 2} .0970034{col 46}{space 1}    2.25{col 55}{space 3}0.024{col 63}{space 4} .0283683{col 76}{space 3} .4086145
{txt}{space 21} {c |}
{space 9}lr_extremity {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.1661238{col 35}{space 2}  .102957{col 46}{space 1}   -1.61{col 55}{space 3}0.107{col 63}{space 4}-.3679159{col 76}{space 3} .0356682
{txt}{space 21} {c |}
{space 12}party_age {c |}{col 23}{res}{space 2}-.0009851{col 35}{space 2} .0073914{col 46}{space 1}   -0.13{col 55}{space 3}0.894{col 63}{space 4}-.0154721{col 76}{space 3} .0135018
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-4.787078{col 35}{space 2} 1.450806{col 46}{space 1}   -3.30{col 55}{space 3}0.001{col 63}{space 4}-7.630605{col 76}{space 3}-1.943551
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.447575{col 44} 1.645929{col 58} .6551273{col 70} 9.144213
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}17.91{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod6
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,384

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_cg     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3533088{col 26}{space 2} .2219767{col 37}{space 1}    1.59{col 46}{space 3}0.111{col 54}{space 4}-.0817574{col 67}{space 3}  .788375
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .328704{col 26}{space 2} .1722305{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4}-.0088616{col 67}{space 3} .6662696
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a c d , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA9.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod5 mod6 ,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA8.csv", replace
{txt}
{com}. 
. **Replicate Table A9 Figure A10
. 
. preserve
{txt}
{com}. 
. drop if elec_year==elec_year_parl2
{txt}(260 observations deleted)

{com}. 
. firthlogit merger pss_cg party_age advantager norepres2 opposition office_exp alliance_exp lr_extremity reg_cost party_fin ln_petit
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-60.797388}
rescale:{col 16}penalized log likelihood = {res:-60.797388}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-60.797388}  (not concave)
Iteration 1:{space 3}penalized log likelihood = {res:-53.472074}  
Iteration 2:{space 3}penalized log likelihood = {res:-50.032732}  
Iteration 3:{space 3}penalized log likelihood = {res: -49.38429}  
Iteration 4:{space 3}penalized log likelihood = {res:-49.373264}  
Iteration 5:{space 3}penalized log likelihood = {res:-49.373233}  
Iteration 6:{space 3}penalized log likelihood = {res:-49.373233}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,268
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     21.02
{txt}Penalized log likelihood = {res}-49.373233{txt}{col 49}Prob > chi2{col 67}= {res}    0.0332

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      merger{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}pss_cg {c |}{col 14}{res}{space 2} .4331828{col 26}{space 2} .2261774{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0101167{col 67}{space 3} .8764823
{txt}{space 3}party_age {c |}{col 14}{res}{space 2} -.015897{col 26}{space 2} .0114503{col 37}{space 1}   -1.39{col 46}{space 3}0.165{col 54}{space 4}-.0383391{col 67}{space 3} .0065452
{txt}{space 2}advantager {c |}{col 14}{res}{space 2} .2309605{col 26}{space 2} .1501369{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4}-.0633024{col 67}{space 3} .5252235
{txt}{space 3}norepres2 {c |}{col 14}{res}{space 2} 2.141417{col 26}{space 2}  .661281{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .8453304{col 67}{space 3} 3.437504
{txt}{space 2}opposition {c |}{col 14}{res}{space 2} 1.214484{col 26}{space 2} .9802023{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.7066774{col 67}{space 3} 3.135645
{txt}{space 2}office_exp {c |}{col 14}{res}{space 2} 1.372926{col 26}{space 2} 1.390145{col 37}{space 1}    0.99{col 46}{space 3}0.323{col 54}{space 4}-1.351709{col 67}{space 3} 4.097561
{txt}alliance_exp {c |}{col 14}{res}{space 2} .5685144{col 26}{space 2} 1.011013{col 37}{space 1}    0.56{col 46}{space 3}0.574{col 54}{space 4}-1.413034{col 67}{space 3} 2.550062
{txt}lr_extremity {c |}{col 14}{res}{space 2}-.1251802{col 26}{space 2} .1883305{col 37}{space 1}   -0.66{col 46}{space 3}0.506{col 54}{space 4}-.4943012{col 67}{space 3} .2439407
{txt}{space 4}reg_cost {c |}{col 14}{res}{space 2} -.717527{col 26}{space 2} 3.608925{col 37}{space 1}   -0.20{col 46}{space 3}0.842{col 54}{space 4} -7.79089{col 67}{space 3} 6.355836
{txt}{space 3}party_fin {c |}{col 14}{res}{space 2}-.0480336{col 26}{space 2} .6558044{col 37}{space 1}   -0.07{col 46}{space 3}0.942{col 54}{space 4}-1.333387{col 67}{space 3} 1.237319
{txt}{space 4}ln_petit {c |}{col 14}{res}{space 2}-.0269923{col 26}{space 2} .1784315{col 37}{space 1}   -0.15{col 46}{space 3}0.880{col 54}{space 4}-.3767117{col 67}{space 3} .3227271
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.558009{col 26}{space 2} 1.214327{col 37}{space 1}   -4.58{col 46}{space 3}0.000{col 54}{space 4}-7.938046{col 67}{space 3}-3.177972
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,255       98.97       98.97
{txt}          1 {c |}{res}         13        1.03      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,268      100.00
{txt}
{com}. est store mod1
{txt}
{com}. firthfit
{txt}(2,665 missing values generated)
(2,665 missing values generated)
(2,665 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -60.797}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -49.373}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    122.746}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    184.489}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.018}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.195}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.011}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.188}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:     -0.009}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.242}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.031}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger pss_cg party_age norepres2 opposition office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-246.32058}
rescale:{col 16}penalized log likelihood = {res:-246.32058}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-246.32058}  
Iteration 1:{space 3}penalized log likelihood = {res:-235.57745}  
Iteration 2:{space 3}penalized log likelihood = {res:-233.84853}  
Iteration 3:{space 3}penalized log likelihood = {res:-233.82697}  
Iteration 4:{space 3}penalized log likelihood = {res:-233.82695}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,279
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     18.99
{txt}Penalized log likelihood = {res}-233.82695{txt}{col 49}Prob > chi2{col 67}= {res}    0.0042

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      merger{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}pss_cg {c |}{col 14}{res}{space 2}-.0439456{col 26}{space 2} .1146732{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.2687009{col 67}{space 3} .1808097
{txt}{space 3}party_age {c |}{col 14}{res}{space 2}-.0225218{col 26}{space 2} .0064255{col 37}{space 1}   -3.51{col 46}{space 3}0.000{col 54}{space 4}-.0351155{col 67}{space 3}-.0099281
{txt}{space 3}norepres2 {c |}{col 14}{res}{space 2} -.111752{col 26}{space 2} .3664115{col 37}{space 1}   -0.30{col 46}{space 3}0.760{col 54}{space 4}-.8299054{col 67}{space 3} .6064013
{txt}{space 2}opposition {c |}{col 14}{res}{space 2} 1.511496{col 26}{space 2} .5708379{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .3926739{col 67}{space 3} 2.630317
{txt}{space 2}office_exp {c |}{col 14}{res}{space 2} 1.279185{col 26}{space 2} .6190973{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0657767{col 67}{space 3} 2.492593
{txt}alliance_exp {c |}{col 14}{res}{space 2}  .440212{col 26}{space 2} .4431492{col 37}{space 1}    0.99{col 46}{space 3}0.321{col 54}{space 4}-.4283445{col 67}{space 3} 1.308768
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.592613{col 26}{space 2} .6172563{col 37}{space 1}   -7.44{col 46}{space 3}0.000{col 54}{space 4}-5.802413{col 67}{space 3}-3.382813
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,224       97.59       97.59
{txt}          1 {c |}{res}         55        2.41      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,279      100.00
{txt}
{com}. est store mod2
{txt}
{com}. firthfit
{txt}(1,654 missing values generated)
(1,654 missing values generated)
(1,654 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -246.321}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -233.827}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    481.654}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    521.774}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.011}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.056}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.013}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.051}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.022}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.189}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger c.pss_cg##c.party_age norepres2 opposition office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-240.77719}
rescale:{col 16}penalized log likelihood = {res:-240.77719}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-240.77719}  
Iteration 1:{space 3}penalized log likelihood = {res:-228.42548}  
Iteration 2:{space 3}penalized log likelihood = {res:-225.78539}  
Iteration 3:{space 3}penalized log likelihood = {res:-225.72455}  
Iteration 4:{space 3}penalized log likelihood = {res:-225.72441}  
Iteration 5:{space 3}penalized log likelihood = {res:-225.72441}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,279
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     23.09
{txt}Penalized log likelihood = {res}-225.72441{txt}{col 49}Prob > chi2{col 67}= {res}    0.0016

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              merger{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}pss_cg {c |}{col 22}{res}{space 2}-.2426558{col 34}{space 2} .1479034{col 45}{space 1}   -1.64{col 54}{space 3}0.101{col 62}{space 4}-.5325411{col 75}{space 3} .0472294
{txt}{space 11}party_age {c |}{col 22}{res}{space 2}-.0266955{col 34}{space 2} .0070968{col 45}{space 1}   -3.76{col 54}{space 3}0.000{col 62}{space 4}-.0406049{col 75}{space 3}-.0127861
{txt}{space 20} {c |}
c.pss_cg#c.party_age {c |}{col 22}{res}{space 2} .0108446{col 34}{space 2} .0039794{col 45}{space 1}    2.73{col 54}{space 3}0.006{col 62}{space 4}  .003045{col 75}{space 3} .0186442
{txt}{space 20} {c |}
{space 11}norepres2 {c |}{col 22}{res}{space 2}-.0974478{col 34}{space 2} .3669883{col 45}{space 1}   -0.27{col 54}{space 3}0.791{col 62}{space 4}-.8167317{col 75}{space 3} .6218361
{txt}{space 10}opposition {c |}{col 22}{res}{space 2} 1.491519{col 34}{space 2} .5778052{col 45}{space 1}    2.58{col 54}{space 3}0.010{col 62}{space 4} .3590413{col 75}{space 3} 2.623996
{txt}{space 10}office_exp {c |}{col 22}{res}{space 2} 1.235432{col 34}{space 2} .6293617{col 45}{space 1}    1.96{col 54}{space 3}0.050{col 62}{space 4} .0019053{col 75}{space 3} 2.468958
{txt}{space 8}alliance_exp {c |}{col 22}{res}{space 2} .5034023{col 34}{space 2} .4433345{col 45}{space 1}    1.14{col 54}{space 3}0.256{col 62}{space 4}-.3655174{col 75}{space 3} 1.372322
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-4.530534{col 34}{space 2} .6222666{col 45}{space 1}   -7.28{col 54}{space 3}0.000{col 62}{space 4}-5.750155{col 75}{space 3}-3.310914
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,224       97.59       97.59
{txt}          1 {c |}{res}         55        2.41      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,279      100.00
{txt}
{com}. est store mod3
{txt}
{com}. firthfit
{txt}(1,654 missing values generated)
(1,654 missing values generated)
(1,654 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -240.777}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -225.724}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    467.449}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    513.301}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.013}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.069}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.020}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.063}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.029}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.229}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.018}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. margins, dydx(pss_cg) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,279
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:62._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}61}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:63._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:64._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}63}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:65._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}64}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:66._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}65}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:67._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:68._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:69._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}68}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:70._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}69}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:71._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}70}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:72._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}71}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:73._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}72}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:74._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}73}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:75._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}74}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:76._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:77._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}76}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:78._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}77}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:79._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}78}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:80._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}79}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{space 8}117  {c |}{col 14}{res}{space 2} 1.015318{col 26}{space 2} .3861867{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .2584056{col 67}{space 3}  1.77223
{txt}{space 8}118  {c |}{col 14}{res}{space 2} 1.026162{col 26}{space 2} .3899873{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .2618012{col 67}{space 3} 1.790523
{txt}{space 8}119  {c |}{col 14}{res}{space 2} 1.037007{col 26}{space 2} .3937914{col 37}{space 1}    2.63{col 46}{space 3}0.008{col 54}{space 4} .2651898{col 67}{space 3} 1.808824
{txt}{space 8}120  {c |}{col 14}{res}{space 2} 1.047851{col 26}{space 2} .3975989{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .2685718{col 67}{space 3} 1.827131
{txt}{space 8}121  {c |}{col 14}{res}{space 2} 1.058696{col 26}{space 2} .4014098{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .2719472{col 67}{space 3} 1.845445
{txt}{space 8}122  {c |}{col 14}{res}{space 2} 1.069541{col 26}{space 2} .4052239{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .2753162{col 67}{space 3} 1.863765
{txt}{space 8}123  {c |}{col 14}{res}{space 2} 1.080385{col 26}{space 2} .4090412{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .2786791{col 67}{space 3} 1.882091
{txt}{space 8}124  {c |}{col 14}{res}{space 2}  1.09123{col 26}{space 2} .4128616{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4}  .282036{col 67}{space 3} 1.900424
{txt}{space 8}125  {c |}{col 14}{res}{space 2} 1.102074{col 26}{space 2} .4166849{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4}  .285387{col 67}{space 3} 1.918762
{txt}{space 8}126  {c |}{col 14}{res}{space 2} 1.112919{col 26}{space 2} .4205111{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .2887324{col 67}{space 3} 1.937105
{txt}{space 8}127  {c |}{col 14}{res}{space 2} 1.123764{col 26}{space 2} .4243401{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .2920722{col 67}{space 3} 1.955455
{txt}{space 8}128  {c |}{col 14}{res}{space 2} 1.134608{col 26}{space 2} .4281719{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .2954067{col 67}{space 3}  1.97381
{txt}{space 8}129  {c |}{col 14}{res}{space 2} 1.145453{col 26}{space 2} .4320063{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .2987359{col 67}{space 3}  1.99217
{txt}{space 8}130  {c |}{col 14}{res}{space 2} 1.156297{col 26}{space 2} .4358434{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4}   .30206{col 67}{space 3} 2.010535
{txt}{space 8}131  {c |}{col 14}{res}{space 2} 1.167142{col 26}{space 2} .4396829{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .3053792{col 67}{space 3} 2.028905
{txt}{space 8}132  {c |}{col 14}{res}{space 2} 1.177987{col 26}{space 2}  .443525{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .3086935{col 67}{space 3}  2.04728
{txt}{space 8}133  {c |}{col 14}{res}{space 2} 1.188831{col 26}{space 2} .4473694{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .3120032{col 67}{space 3} 2.065659
{txt}{space 8}134  {c |}{col 14}{res}{space 2} 1.199676{col 26}{space 2} .4512162{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .3153082{col 67}{space 3} 2.084043
{txt}{space 8}135  {c |}{col 14}{res}{space 2}  1.21052{col 26}{space 2} .4550653{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .3186088{col 67}{space 3} 2.102432
{txt}{space 8}136  {c |}{col 14}{res}{space 2} 1.221365{col 26}{space 2} .4589166{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4}  .321905{col 67}{space 3} 2.120825
{txt}{space 8}137  {c |}{col 14}{res}{space 2}  1.23221{col 26}{space 2}   .46277{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4}  .325197{col 67}{space 3} 2.139222
{txt}{space 8}138  {c |}{col 14}{res}{space 2} 1.243054{col 26}{space 2} .4666256{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .3284848{col 67}{space 3} 2.157623
{txt}{space 8}139  {c |}{col 14}{res}{space 2} 1.253899{col 26}{space 2} .4704832{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .3317685{col 67}{space 3} 2.176029
{txt}{space 8}140  {c |}{col 14}{res}{space 2} 1.264743{col 26}{space 2} .4743429{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .3350484{col 67}{space 3} 2.194438
{txt}{space 8}141  {c |}{col 14}{res}{space 2} 1.275588{col 26}{space 2} .4782045{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .3383244{col 67}{space 3} 2.212851
{txt}{space 8}142  {c |}{col 14}{res}{space 2} 1.286433{col 26}{space 2}  .482068{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .3415966{col 67}{space 3} 2.231268
{txt}{space 8}143  {c |}{col 14}{res}{space 2} 1.297277{col 26}{space 2} .4859334{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .3448651{col 67}{space 3} 2.249689
{txt}{space 8}144  {c |}{col 14}{res}{space 2} 1.308122{col 26}{space 2} .4898006{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .3481301{col 67}{space 3} 2.268113
{txt}{space 8}145  {c |}{col 14}{res}{space 2} 1.318966{col 26}{space 2} .4936696{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .3513916{col 67}{space 3} 2.286541
{txt}{space 8}146  {c |}{col 14}{res}{space 2} 1.329811{col 26}{space 2} .4975404{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .3546497{col 67}{space 3} 2.304972
{txt}{space 8}147  {c |}{col 14}{res}{space 2} 1.340655{col 26}{space 2} .5014128{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .3579044{col 67}{space 3} 2.323407
{txt}{space 8}148  {c |}{col 14}{res}{space 2}   1.3515{col 26}{space 2} .5052869{col 37}{space 1}    2.67{col 46}{space 3}0.007{col 54}{space 4} .3611559{col 67}{space 3} 2.341844
{txt}{space 8}149  {c |}{col 14}{res}{space 2} 1.362345{col 26}{space 2} .5091627{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3644042{col 67}{space 3} 2.360285
{txt}{space 8}150  {c |}{col 14}{res}{space 2} 1.373189{col 26}{space 2}   .51304{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3676493{col 67}{space 3} 2.378729
{txt}{space 8}151  {c |}{col 14}{res}{space 2} 1.384034{col 26}{space 2} .5169189{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3708915{col 67}{space 3} 2.397176
{txt}{space 8}152  {c |}{col 14}{res}{space 2} 1.394878{col 26}{space 2} .5207993{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3741306{col 67}{space 3} 2.415626
{txt}{space 8}153  {c |}{col 14}{res}{space 2} 1.405723{col 26}{space 2} .5246812{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3773669{col 67}{space 3} 2.434079
{txt}{space 8}154  {c |}{col 14}{res}{space 2} 1.416568{col 26}{space 2} .5285645{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3806003{col 67}{space 3} 2.452535
{txt}{space 8}155  {c |}{col 14}{res}{space 2} 1.427412{col 26}{space 2} .5324492{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3838309{col 67}{space 3} 2.470994
{txt}{space 8}156  {c |}{col 14}{res}{space 2} 1.438257{col 26}{space 2} .5363354{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3870588{col 67}{space 3} 2.489455
{txt}{space 8}157  {c |}{col 14}{res}{space 2} 1.449101{col 26}{space 2} .5402229{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3902841{col 67}{space 3} 2.507919
{txt}{space 8}158  {c |}{col 14}{res}{space 2} 1.459946{col 26}{space 2} .5441117{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3935067{col 67}{space 3} 2.526385
{txt}{space 8}159  {c |}{col 14}{res}{space 2} 1.470791{col 26}{space 2} .5480018{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3967268{col 67}{space 3} 2.544855
{txt}{space 8}160  {c |}{col 14}{res}{space 2} 1.481635{col 26}{space 2} .5518932{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .3999444{col 67}{space 3} 2.563326
{txt}{space 8}161  {c |}{col 14}{res}{space 2}  1.49248{col 26}{space 2} .5557859{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4031596{col 67}{space 3}   2.5818
{txt}{space 8}162  {c |}{col 14}{res}{space 2} 1.503324{col 26}{space 2} .5596798{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4063723{col 67}{space 3} 2.600277
{txt}{space 8}163  {c |}{col 14}{res}{space 2} 1.514169{col 26}{space 2} .5635748{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4095827{col 67}{space 3} 2.618755
{txt}{space 8}164  {c |}{col 14}{res}{space 2} 1.525014{col 26}{space 2} .5674711{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4127908{col 67}{space 3} 2.637236
{txt}{space 8}165  {c |}{col 14}{res}{space 2} 1.535858{col 26}{space 2} .5713684{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4159967{col 67}{space 3}  2.65572
{txt}{space 8}166  {c |}{col 14}{res}{space 2} 1.546703{col 26}{space 2} .5752669{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4192004{col 67}{space 3} 2.674205
{txt}{space 8}167  {c |}{col 14}{res}{space 2} 1.557547{col 26}{space 2} .5791665{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4224019{col 67}{space 3} 2.692693
{txt}{space 8}168  {c |}{col 14}{res}{space 2} 1.568392{col 26}{space 2} .5830672{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4256013{col 67}{space 3} 2.711183
{txt}{space 8}169  {c |}{col 14}{res}{space 2} 1.579237{col 26}{space 2}  .586969{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4287986{col 67}{space 3} 2.729675
{txt}{space 8}170  {c |}{col 14}{res}{space 2} 1.590081{col 26}{space 2} .5908717{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4319939{col 67}{space 3} 2.748169
{txt}{space 8}171  {c |}{col 14}{res}{space 2} 1.600926{col 26}{space 2} .5947755{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4351872{col 67}{space 3} 2.766664
{txt}{space 8}172  {c |}{col 14}{res}{space 2}  1.61177{col 26}{space 2} .5986803{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4383786{col 67}{space 3} 2.785162
{txt}{space 8}173  {c |}{col 14}{res}{space 2} 1.622615{col 26}{space 2} .6025861{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4}  .441568{col 67}{space 3} 2.803662
{txt}{space 8}174  {c |}{col 14}{res}{space 2}  1.63346{col 26}{space 2} .6064928{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4447556{col 67}{space 3} 2.822164
{txt}{space 8}175  {c |}{col 14}{res}{space 2} 1.644304{col 26}{space 2} .6104005{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4479413{col 67}{space 3} 2.840667
{txt}{space 8}176  {c |}{col 14}{res}{space 2} 1.655149{col 26}{space 2} .6143091{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4511252{col 67}{space 3} 2.859172
{txt}{space 8}177  {c |}{col 14}{res}{space 2} 1.665993{col 26}{space 2} .6182186{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .4543073{col 67}{space 3}  2.87768
{txt}{space 8}178  {c |}{col 14}{res}{space 2} 1.676838{col 26}{space 2} .6221289{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .4574877{col 67}{space 3} 2.896188
{txt}{space 8}179  {c |}{col 14}{res}{space 2} 1.687683{col 26}{space 2} .6260402{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .4606664{col 67}{space 3} 2.914699
{txt}{space 8}180  {c |}{col 14}{res}{space 2} 1.698527{col 26}{space 2} .6299523{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .4638434{col 67}{space 3} 2.933211
{txt}{space 8}181  {c |}{col 14}{res}{space 2} 1.709372{col 26}{space 2} .6338652{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .4670188{col 67}{space 3} 2.951725
{txt}{space 8}182  {c |}{col 14}{res}{space 2} 1.720216{col 26}{space 2}  .637779{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .4701926{col 67}{space 3}  2.97024
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(1,654 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(3,751 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. 
. firthlogit merger c.pss_cg##c.vote_share party_age norepres2 opposition office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-208.74512}
rescale:{col 16}penalized log likelihood = {res:-208.74512}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-208.74512}  
Iteration 1:{space 3}penalized log likelihood = {res: -194.3648}  
Iteration 2:{space 3}penalized log likelihood = {res:-189.88825}  
Iteration 3:{space 3}penalized log likelihood = {res:-189.74108}  
Iteration 4:{space 3}penalized log likelihood = {res:-189.74009}  
Iteration 5:{space 3}penalized log likelihood = {res:-189.74009}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,137
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     26.96
{txt}Penalized log likelihood = {res}-189.74009{txt}{col 49}Prob > chi2{col 67}= {res}    0.0007

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               merger{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss_cg {c |}{col 23}{res}{space 2}-.1685855{col 35}{space 2}  .160603{col 46}{space 1}   -1.05{col 55}{space 3}0.294{col 63}{space 4}-.4833615{col 76}{space 3} .1461905
{txt}{space 11}vote_share {c |}{col 23}{res}{space 2}-.0454203{col 35}{space 2}  .021423{col 46}{space 1}   -2.12{col 55}{space 3}0.034{col 63}{space 4}-.0874086{col 76}{space 3} -.003432
{txt}{space 21} {c |}
c.pss_cg#c.vote_share {c |}{col 23}{res}{space 2} .0296057{col 35}{space 2} .0180174{col 46}{space 1}    1.64{col 55}{space 3}0.100{col 63}{space 4}-.0057078{col 76}{space 3} .0649191
{txt}{space 21} {c |}
{space 12}party_age {c |}{col 23}{res}{space 2}-.0252709{col 35}{space 2} .0075101{col 46}{space 1}   -3.36{col 55}{space 3}0.001{col 63}{space 4}-.0399905{col 76}{space 3}-.0105514
{txt}{space 12}norepres2 {c |}{col 23}{res}{space 2}-.1147832{col 35}{space 2} .3793122{col 46}{space 1}   -0.30{col 55}{space 3}0.762{col 63}{space 4}-.8582215{col 76}{space 3} .6286551
{txt}{space 11}opposition {c |}{col 23}{res}{space 2} 1.700573{col 35}{space 2} .6515889{col 46}{space 1}    2.61{col 55}{space 3}0.009{col 63}{space 4} .4234818{col 76}{space 3} 2.977663
{txt}{space 11}office_exp {c |}{col 23}{res}{space 2} 2.419187{col 35}{space 2} .7289972{col 46}{space 1}    3.32{col 55}{space 3}0.001{col 63}{space 4} .9903786{col 76}{space 3} 3.847995
{txt}{space 9}alliance_exp {c |}{col 23}{res}{space 2} -.483649{col 35}{space 2} .6866139{col 46}{space 1}   -0.70{col 55}{space 3}0.481{col 63}{space 4}-1.829387{col 76}{space 3} .8620895
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-4.605124{col 35}{space 2} .7044682{col 46}{space 1}   -6.54{col 55}{space 3}0.000{col 63}{space 4}-5.985857{col 76}{space 3}-3.224392
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,089       97.75       97.75
{txt}          1 {c |}{res}         48        2.25      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,137      100.00
{txt}
{com}. est store mod4
{txt}
{com}. firthfit
{txt}(1,796 missing values generated)
(1,796 missing values generated)
(1,796 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -208.745}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -189.740}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    397.480}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    448.485}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.018}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.099}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.018}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.091}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.048}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.343}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.021}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss_cg) at(vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,137
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss_cg       {txt}{c |}
{space 9}_at {c |}
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{txt}{space 9}48  {c |}{col 14}{res}{space 2} 1.222882{col 26}{space 2} .7555396{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4}-.2579487{col 67}{space 3} 2.703712
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 1.252487{col 26}{space 2} .7733168{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4}-.2631857{col 67}{space 3}  2.76816
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 1.282093{col 26}{space 2} .7911049{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4} -.268444{col 67}{space 3}  2.83263
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 1.311699{col 26}{space 2} .8089031{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4}-.2737222{col 67}{space 3}  2.89712
{txt}{space 9}52  {c |}{col 14}{res}{space 2} 1.341304{col 26}{space 2} .8267108{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4} -.279019{col 67}{space 3} 2.961628
{txt}{space 9}53  {c |}{col 14}{res}{space 2}  1.37091{col 26}{space 2} .8445275{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4}-.2843332{col 67}{space 3} 3.026154
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 1.400516{col 26}{space 2} .8623524{col 37}{space 1}    1.62{col 46}{space 3}0.104{col 54}{space 4}-.2896638{col 67}{space 3} 3.090696
{txt}{space 9}55  {c |}{col 14}{res}{space 2} 1.430122{col 26}{space 2} .8801852{col 37}{space 1}    1.62{col 46}{space 3}0.104{col 54}{space 4}-.2950098{col 67}{space 3} 3.155253
{txt}{space 9}56  {c |}{col 14}{res}{space 2} 1.459727{col 26}{space 2} .8980254{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.3003702{col 67}{space 3} 3.219825
{txt}{space 9}57  {c |}{col 14}{res}{space 2} 1.489333{col 26}{space 2} .9158725{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.3057442{col 67}{space 3}  3.28441
{txt}{space 9}58  {c |}{col 14}{res}{space 2} 1.518939{col 26}{space 2} .9337261{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4} -.311131{col 67}{space 3} 3.349008
{txt}{space 9}59  {c |}{col 14}{res}{space 2} 1.548544{col 26}{space 2}  .951586{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.3165299{col 67}{space 3} 3.413618
{txt}{space 9}60  {c |}{col 14}{res}{space 2}  1.57815{col 26}{space 2} .9694516{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.3219403{col 67}{space 3}  3.47824
{txt}{space 9}61  {c |}{col 14}{res}{space 2} 1.607756{col 26}{space 2} .9873228{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.3273614{col 67}{space 3} 3.542873
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(1,796 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(3,872 missing values generated)

{com}. 
. twoway hist vote_share if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. firthlogit merger c.pss_cg##i.opposition party_age norepres2 office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-244.96466}
rescale:{col 16}penalized log likelihood = {res:-244.96466}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-244.96466}  
Iteration 1:{space 3}penalized log likelihood = {res:-233.60312}  
Iteration 2:{space 3}penalized log likelihood = {res:-230.90677}  
Iteration 3:{space 3}penalized log likelihood = {res:-230.86597}  
Iteration 4:{space 3}penalized log likelihood = {res: -230.8659}  
Iteration 5:{space 3}penalized log likelihood = {res: -230.8659}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,279
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     22.45
{txt}Penalized log likelihood = {res} -230.8659{txt}{col 49}Prob > chi2{col 67}= {res}    0.0021

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             merger{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}pss_cg {c |}{col 21}{res}{space 2} .3157852{col 33}{space 2}  .208124{col 44}{space 1}    1.52{col 53}{space 3}0.129{col 61}{space 4}-.0921304{col 74}{space 3} .7237008
{txt}{space 19} {c |}
{space 9}opposition {c |}
{space 8}Opposition  {c |}{col 21}{res}{space 2} 1.616233{col 33}{space 2}   .58798{col 44}{space 1}    2.75{col 53}{space 3}0.006{col 61}{space 4} .4638129{col 74}{space 3} 2.768652
{txt}{space 19} {c |}
opposition#c.pss_cg {c |}
{space 8}Opposition  {c |}{col 21}{res}{space 2}-.4593994{col 33}{space 2} .2437215{col 44}{space 1}   -1.88{col 53}{space 3}0.059{col 61}{space 4}-.9370847{col 74}{space 3}  .018286
{txt}{space 19} {c |}
{space 10}party_age {c |}{col 21}{res}{space 2}-.0223011{col 33}{space 2} .0063939{col 44}{space 1}   -3.49{col 53}{space 3}0.000{col 61}{space 4}-.0348329{col 74}{space 3}-.0097693
{txt}{space 10}norepres2 {c |}{col 21}{res}{space 2}-.1303956{col 33}{space 2} .3661115{col 44}{space 1}   -0.36{col 53}{space 3}0.722{col 61}{space 4} -.847961{col 74}{space 3} .5871698
{txt}{space 9}office_exp {c |}{col 21}{res}{space 2} 1.275601{col 33}{space 2} .6171657{col 44}{space 1}    2.07{col 53}{space 3}0.039{col 61}{space 4} .0659781{col 74}{space 3} 2.485223
{txt}{space 7}alliance_exp {c |}{col 21}{res}{space 2}  .354569{col 33}{space 2} .4525897{col 44}{space 1}    0.78{col 53}{space 3}0.433{col 61}{space 4}-.5324905{col 74}{space 3} 1.241628
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-4.685317{col 33}{space 2} .6340503{col 44}{space 1}   -7.39{col 53}{space 3}0.000{col 61}{space 4}-5.928033{col 74}{space 3}-3.442601
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,224       97.59       97.59
{txt}          1 {c |}{res}         55        2.41      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,279      100.00
{txt}
{com}. est store mod5
{txt}
{com}. firthfit
{txt}(1,654 missing values generated)
(1,654 missing values generated)
(1,654 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -244.965}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -230.866}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    481.732}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    539.047}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.064}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.013}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.058}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.017}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.196}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.014}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss_cg) at(opposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,279
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss_cg       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3157852{col 26}{space 2}  .208124{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.0921304{col 67}{space 3} .7237008
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1436142{col 26}{space 2} .1336492{col 37}{space 1}   -1.07{col 46}{space 3}0.283{col 54}{space 4}-.4055618{col 67}{space 3} .1183334
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: opposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA10.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5 ,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA9.csv", replace
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. **Replicate Figure A11
. 
. xtmixed nicheness c.l.enep##i.niche_party_previous vote_loss l.vote_share party_age lopposition i.decade c.l.LogMedian##c.l.cdiv || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4468.5424}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4468.5424}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,633
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       201

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    45.49
{txt}Log likelihood = {res}-4468.5424{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                   nicheness{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}enep {c |}
{space 25}L1. {c |}{col 30}{res}{space 2}-.2661198{col 42}{space 2}  .119729{col 53}{space 1}   -2.22{col 62}{space 3}0.026{col 70}{space 4}-.5007843{col 83}{space 3}-.0314553
{txt}{space 28} {c |}
{space 8}niche_party_previous {c |}
{space 21}NP t-1  {c |}{col 30}{res}{space 2}-.5225443{col 42}{space 2} .7916037{col 53}{space 1}   -0.66{col 62}{space 3}0.509{col 70}{space 4}-2.074059{col 83}{space 3}  1.02897
{txt}{space 28} {c |}
niche_party_previous#cL.enep {c |}
{space 21}NP t-1  {c |}{col 30}{res}{space 2} .2513029{col 42}{space 2}  .173409{col 53}{space 1}    1.45{col 62}{space 3}0.147{col 70}{space 4}-.0885724{col 83}{space 3} .5911782
{txt}{space 28} {c |}
{space 19}vote_loss {c |}{col 30}{res}{space 2} .0079314{col 42}{space 2} .0222973{col 53}{space 1}    0.36{col 62}{space 3}0.722{col 70}{space 4}-.0357706{col 83}{space 3} .0516333
{txt}{space 28} {c |}
{space 18}vote_share {c |}
{space 25}L1. {c |}{col 30}{res}{space 2}-.0633399{col 42}{space 2}  .015868{col 53}{space 1}   -3.99{col 62}{space 3}0.000{col 70}{space 4}-.0944406{col 83}{space 3}-.0322393
{txt}{space 28} {c |}
{space 19}party_age {c |}{col 30}{res}{space 2}-.0133249{col 42}{space 2} .0066472{col 53}{space 1}   -2.00{col 62}{space 3}0.045{col 70}{space 4}-.0263532{col 83}{space 3}-.0002967
{txt}{space 17}lopposition {c |}{col 30}{res}{space 2}  .119831{col 42}{space 2} .2295927{col 53}{space 1}    0.52{col 62}{space 3}0.602{col 70}{space 4}-.3301623{col 83}{space 3} .5698244
{txt}{space 28} {c |}
{space 22}decade {c |}
{space 18}1960-1969  {c |}{col 30}{res}{space 2} .3651235{col 42}{space 2} .3644935{col 53}{space 1}    1.00{col 62}{space 3}0.316{col 70}{space 4}-.3492706{col 83}{space 3} 1.079518
{txt}{space 18}1970-1979  {c |}{col 30}{res}{space 2} .0585893{col 42}{space 2} .3689522{col 53}{space 1}    0.16{col 62}{space 3}0.874{col 70}{space 4}-.6645436{col 83}{space 3} .7817223
{txt}{space 18}1980-1989  {c |}{col 30}{res}{space 2} .2438025{col 42}{space 2} .3927789{col 53}{space 1}    0.62{col 62}{space 3}0.535{col 70}{space 4}-.5260299{col 83}{space 3} 1.013635
{txt}{space 18}1990-1999  {c |}{col 30}{res}{space 2} .1463678{col 42}{space 2} .4376656{col 53}{space 1}    0.33{col 62}{space 3}0.738{col 70}{space 4} -.711441{col 83}{space 3} 1.004177
{txt}{space 15}2000 onwards  {c |}{col 30}{res}{space 2} .4317745{col 42}{space 2} .4701703{col 53}{space 1}    0.92{col 62}{space 3}0.358{col 70}{space 4}-.4897424{col 83}{space 3} 1.353291
{txt}{space 28} {c |}
{space 19}LogMedian {c |}
{space 25}L1. {c |}{col 30}{res}{space 2} .1575902{col 42}{space 2} .2631457{col 53}{space 1}    0.60{col 62}{space 3}0.549{col 70}{space 4}-.3581659{col 83}{space 3} .6733462
{txt}{space 28} {c |}
{space 24}cdiv {c |}
{space 25}L1. {c |}{col 30}{res}{space 2} 2.128009{col 42}{space 2} 2.578774{col 53}{space 1}    0.83{col 62}{space 3}0.409{col 70}{space 4}-2.926295{col 83}{space 3} 7.182314
{txt}{space 28} {c |}
{space 8}cL.LogMedian#cL.cdiv {c |}{col 30}{res}{space 2}-.6162098{col 42}{space 2} .9970597{col 53}{space 1}   -0.62{col 62}{space 3}0.537{col 70}{space 4}-2.570411{col 83}{space 3} 1.337991
{txt}{space 28} {c |}
{space 23}_cons {c |}{col 30}{res}{space 2} 4.550846{col 42}{space 2} .9360476{col 53}{space 1}    4.86{col 62}{space 3}0.000{col 70}{space 4} 2.716226{col 83}{space 3} 6.385465
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 8.947643{col 44} 1.300498{col 58}  6.72962{col 70} 11.89671
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.20964{col 44} .4268791{col 58} 10.40343{col 70} 12.07832
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}210.16{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.enep) at(niche_party_previous=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,633

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.enep       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2661198{col 26}{space 2}  .119729{col 37}{space 1}   -2.22{col 46}{space 3}0.026{col 54}{space 4}-.5007843{col 67}{space 3}-.0314553
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0148169{col 26}{space 2} .1896295{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.3864838{col 67}{space 3}   .35685
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of ENEP t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.enep##i.niche_party_previous##c.party_age vote_loss l.vote_share lopposition i.decade c.l.LogMedian##c.l.cdiv || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4466.9036}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4466.9036}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,633
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       201

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}18{txt}){col 67}={col 70}{res}    48.93
{txt}Log likelihood = {res}-4466.9036{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 41}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                               nicheness{col 42}{c |}      Coef.{col 54}   Std. Err.{col 66}      z{col 74}   P>|z|{col 82}     [95% Con{col 95}f. Interval]
{hline 41}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}enep {c |}
{space 37}L1. {c |}{col 42}{res}{space 2}-.2390127{col 54}{space 2} .1759422{col 65}{space 1}   -1.36{col 74}{space 3}0.174{col 82}{space 4}-.5838531{col 95}{space 3} .1058277
{txt}{space 40} {c |}
{space 20}niche_party_previous {c |}
{space 33}NP t-1  {c |}{col 42}{res}{space 2} .2844017{col 54}{space 2} 1.317869{col 65}{space 1}    0.22{col 74}{space 3}0.829{col 82}{space 4}-2.298574{col 95}{space 3} 2.867377
{txt}{space 40} {c |}
{space 12}niche_party_previous#cL.enep {c |}
{space 33}NP t-1  {c |}{col 42}{res}{space 2} .2142211{col 54}{space 2} .2851443{col 65}{space 1}    0.75{col 74}{space 3}0.452{col 82}{space 4}-.3446515{col 95}{space 3} .7730937
{txt}{space 40} {c |}
{space 31}party_age {c |}{col 42}{res}{space 2}-.0090119{col 54}{space 2} .0146488{col 65}{space 1}   -0.62{col 74}{space 3}0.538{col 82}{space 4}-.0377229{col 95}{space 3} .0196991
{txt}{space 40} {c |}
{space 21}cL.enep#c.party_age {c |}{col 42}{res}{space 2}-.0004517{col 54}{space 2} .0029414{col 65}{space 1}   -0.15{col 74}{space 3}0.878{col 82}{space 4}-.0062167{col 95}{space 3} .0053133
{txt}{space 40} {c |}
{space 8}niche_party_previous#c.party_age {c |}
{space 33}NP t-1  {c |}{col 42}{res}{space 2}-.0146065{col 54}{space 2} .0260487{col 65}{space 1}   -0.56{col 74}{space 3}0.575{col 82}{space 4}-.0656609{col 95}{space 3}  .036448
{txt}{space 40} {c |}
niche_party_previous#cL.enep#c.party_age {c |}
{space 33}NP t-1  {c |}{col 42}{res}{space 2} .0002552{col 54}{space 2}  .005989{col 65}{space 1}    0.04{col 74}{space 3}0.966{col 82}{space 4} -.011483{col 95}{space 3} .0119935
{txt}{space 40} {c |}
{space 31}vote_loss {c |}{col 42}{res}{space 2} .0066732{col 54}{space 2}  .022288{col 65}{space 1}    0.30{col 74}{space 3}0.765{col 82}{space 4}-.0370105{col 95}{space 3} .0503569
{txt}{space 40} {c |}
{space 30}vote_share {c |}
{space 37}L1. {c |}{col 42}{res}{space 2}-.0628918{col 54}{space 2} .0158588{col 65}{space 1}   -3.97{col 74}{space 3}0.000{col 82}{space 4}-.0939746{col 95}{space 3}-.0318091
{txt}{space 40} {c |}
{space 29}lopposition {c |}{col 42}{res}{space 2} .1202137{col 54}{space 2} .2295334{col 65}{space 1}    0.52{col 74}{space 3}0.600{col 82}{space 4}-.3296635{col 95}{space 3} .5700909
{txt}{space 40} {c |}
{space 34}decade {c |}
{space 30}1960-1969  {c |}{col 42}{res}{space 2} .3618643{col 54}{space 2} .3641819{col 65}{space 1}    0.99{col 74}{space 3}0.320{col 82}{space 4}-.3519192{col 95}{space 3} 1.075648
{txt}{space 30}1970-1979  {c |}{col 42}{res}{space 2} .0432019{col 54}{space 2} .3687428{col 65}{space 1}    0.12{col 74}{space 3}0.907{col 82}{space 4}-.6795206{col 95}{space 3} .7659244
{txt}{space 30}1980-1989  {c |}{col 42}{res}{space 2} .2301361{col 54}{space 2} .3927195{col 65}{space 1}    0.59{col 74}{space 3}0.558{col 82}{space 4}-.5395799{col 95}{space 3} .9998522
{txt}{space 30}1990-1999  {c |}{col 42}{res}{space 2} .1347717{col 54}{space 2} .4374622{col 65}{space 1}    0.31{col 74}{space 3}0.758{col 82}{space 4}-.7226384{col 95}{space 3} .9921817
{txt}{space 27}2000 onwards  {c |}{col 42}{res}{space 2} .4148481{col 54}{space 2} .4700896{col 65}{space 1}    0.88{col 74}{space 3}0.378{col 82}{space 4}-.5065106{col 95}{space 3} 1.336207
{txt}{space 40} {c |}
{space 31}LogMedian {c |}
{space 37}L1. {c |}{col 42}{res}{space 2} .1615637{col 54}{space 2} .2627872{col 65}{space 1}    0.61{col 74}{space 3}0.539{col 82}{space 4}-.3534898{col 95}{space 3} .6766172
{txt}{space 40} {c |}
{space 36}cdiv {c |}
{space 37}L1. {c |}{col 42}{res}{space 2} 2.082321{col 54}{space 2} 2.577826{col 65}{space 1}    0.81{col 74}{space 3}0.419{col 82}{space 4}-2.970126{col 95}{space 3} 7.134767
{txt}{space 40} {c |}
{space 20}cL.LogMedian#cL.cdiv {c |}{col 42}{res}{space 2}-.6380534{col 54}{space 2} .9962754{col 65}{space 1}   -0.64{col 74}{space 3}0.522{col 82}{space 4}-2.590717{col 95}{space 3}  1.31461
{txt}{space 40} {c |}
{space 35}_cons {c |}{col 42}{res}{space 2} 4.313599{col 54}{space 2} 1.091529{col 65}{space 1}    3.95{col 74}{space 3}0.000{col 82}{space 4} 2.174242{col 95}{space 3} 6.452956
{txt}{hline 41}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 8.913109{col 44} 1.295086{col 58} 6.704225{col 70} 11.84977
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.18937{col 44} .4260579{col 58} 10.38471{col 70} 12.05638
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}210.01{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.enep) at(niche_party_previous=(0 1) party_age=(1 25 50 75)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,633

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.enep       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2394644{col 26}{space 2} .1737982{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-.5801026{col 67}{space 3} .1011738
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2503057{col 26}{space 2} .1319099{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.5088443{col 67}{space 3} .0082329
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2615988{col 26}{space 2} .1210758{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4} -.498903{col 67}{space 3}-.0242945
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.2728918{col 26}{space 2}  .150775{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4}-.5684053{col 67}{space 3} .0226218
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0249881{col 26}{space 2} .2917888{col 37}{space 1}   -0.09{col 46}{space 3}0.932{col 54}{space 4}-.5968836{col 67}{space 3} .5469075
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0297035{col 26}{space 2} .2043896{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4}-.4302998{col 67}{space 3} .3708928
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0346153{col 26}{space 2}  .205076{col 37}{space 1}   -0.17{col 46}{space 3}0.866{col 54}{space 4}-.4365568{col 67}{space 3} .3673262
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0395272{col 26}{space 2} .2978562{col 37}{space 1}   -0.13{col 46}{space 3}0.894{col 54}{space 4}-.6233147{col 67}{space 3} .5442603
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of ENEP t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "party_age=1" 6 "party_age=25" 7 "party_age=50" 8 "party_age=75")) ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous party_age{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.enep##i.niche_party_previous##c.leaderdom vote_loss l.vote_share party_age lopposition i.decade c.l.LogMedian##c.l.cdiv || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2777.0799}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-2777.0799}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,185
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       104

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      11.4
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}19{txt}){col 67}={col 70}{res}    49.09
{txt}Log likelihood = {res}-2777.0799{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0002

{txt}{hline 41}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                               nicheness{col 42}{c |}      Coef.{col 54}   Std. Err.{col 66}      z{col 74}   P>|z|{col 82}     [95% Con{col 95}f. Interval]
{hline 41}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}enep {c |}
{space 37}L1. {c |}{col 42}{res}{space 2}-.2682894{col 54}{space 2} .2595521{col 65}{space 1}   -1.03{col 74}{space 3}0.301{col 82}{space 4}-.7770022{col 95}{space 3} .2404233
{txt}{space 40} {c |}
{space 20}niche_party_previous {c |}
{space 33}NP t-1  {c |}{col 42}{res}{space 2} 1.262711{col 54}{space 2} 2.343038{col 65}{space 1}    0.54{col 74}{space 3}0.590{col 82}{space 4}-3.329558{col 95}{space 3}  5.85498
{txt}{space 40} {c |}
{space 12}niche_party_previous#cL.enep {c |}
{space 33}NP t-1  {c |}{col 42}{res}{space 2}-.1983504{col 54}{space 2} .4660484{col 65}{space 1}   -0.43{col 74}{space 3}0.670{col 82}{space 4}-1.111788{col 95}{space 3} .7150877
{txt}{space 40} {c |}
{space 31}leaderdom {c |}{col 42}{res}{space 2}-.0213148{col 54}{space 2} .0785915{col 65}{space 1}   -0.27{col 74}{space 3}0.786{col 82}{space 4}-.1753513{col 95}{space 3} .1327218
{txt}{space 40} {c |}
{space 21}cL.enep#c.leaderdom {c |}{col 42}{res}{space 2} -.001778{col 54}{space 2}  .012932{col 65}{space 1}   -0.14{col 74}{space 3}0.891{col 82}{space 4}-.0271244{col 95}{space 3} .0235683
{txt}{space 40} {c |}
{space 8}niche_party_previous#c.leaderdom {c |}
{space 33}NP t-1  {c |}{col 42}{res}{space 2}-.0728454{col 54}{space 2} .1162849{col 65}{space 1}   -0.63{col 74}{space 3}0.531{col 82}{space 4}-.3007596{col 95}{space 3} .1550688
{txt}{space 40} {c |}
niche_party_previous#cL.enep#c.leaderdom {c |}
{space 33}NP t-1  {c |}{col 42}{res}{space 2} .0168875{col 54}{space 2} .0220959{col 65}{space 1}    0.76{col 74}{space 3}0.445{col 82}{space 4}-.0264197{col 95}{space 3} .0601948
{txt}{space 40} {c |}
{space 31}vote_loss {c |}{col 42}{res}{space 2} -.005961{col 54}{space 2} .0172102{col 65}{space 1}   -0.35{col 74}{space 3}0.729{col 82}{space 4}-.0396923{col 95}{space 3} .0277703
{txt}{space 40} {c |}
{space 30}vote_share {c |}
{space 37}L1. {c |}{col 42}{res}{space 2}-.0518065{col 54}{space 2} .0126348{col 65}{space 1}   -4.10{col 74}{space 3}0.000{col 82}{space 4}-.0765702{col 95}{space 3}-.0270427
{txt}{space 40} {c |}
{space 31}party_age {c |}{col 42}{res}{space 2}-.0115262{col 54}{space 2} .0056002{col 65}{space 1}   -2.06{col 74}{space 3}0.040{col 82}{space 4}-.0225023{col 95}{space 3}  -.00055
{txt}{space 29}lopposition {c |}{col 42}{res}{space 2}-.1302139{col 54}{space 2} .1700438{col 65}{space 1}   -0.77{col 74}{space 3}0.444{col 82}{space 4}-.4634936{col 95}{space 3} .2030659
{txt}{space 40} {c |}
{space 34}decade {c |}
{space 30}1960-1969  {c |}{col 42}{res}{space 2}-.4366653{col 54}{space 2} .2964569{col 65}{space 1}   -1.47{col 74}{space 3}0.141{col 82}{space 4} -1.01771{col 95}{space 3} .1443796
{txt}{space 30}1970-1979  {c |}{col 42}{res}{space 2}-.0892601{col 54}{space 2} .2967707{col 65}{space 1}   -0.30{col 74}{space 3}0.764{col 82}{space 4}  -.67092{col 95}{space 3} .4923999
{txt}{space 30}1980-1989  {c |}{col 42}{res}{space 2}-.2915117{col 54}{space 2}  .316579{col 65}{space 1}   -0.92{col 74}{space 3}0.357{col 82}{space 4}-.9119952{col 95}{space 3} .3289719
{txt}{space 30}1990-1999  {c |}{col 42}{res}{space 2}-.1608169{col 54}{space 2} .3576934{col 65}{space 1}   -0.45{col 74}{space 3}0.653{col 82}{space 4}-.8618831{col 95}{space 3} .5402492
{txt}{space 27}2000 onwards  {c |}{col 42}{res}{space 2} .2618953{col 54}{space 2} .4016283{col 65}{space 1}    0.65{col 74}{space 3}0.514{col 82}{space 4}-.5252818{col 95}{space 3} 1.049072
{txt}{space 40} {c |}
{space 31}LogMedian {c |}
{space 37}L1. {c |}{col 42}{res}{space 2} .1282448{col 54}{space 2} .2589375{col 65}{space 1}    0.50{col 74}{space 3}0.620{col 82}{space 4}-.3792635{col 95}{space 3}  .635753
{txt}{space 40} {c |}
{space 36}cdiv {c |}
{space 37}L1. {c |}{col 42}{res}{space 2} 1.731579{col 54}{space 2} 2.329556{col 65}{space 1}    0.74{col 74}{space 3}0.457{col 82}{space 4}-2.834266{col 95}{space 3} 6.297424
{txt}{space 40} {c |}
{space 20}cL.LogMedian#cL.cdiv {c |}{col 42}{res}{space 2}-.5788355{col 54}{space 2} .9134585{col 65}{space 1}   -0.63{col 74}{space 3}0.526{col 82}{space 4}-2.369181{col 95}{space 3}  1.21151
{txt}{space 40} {c |}
{space 35}_cons {c |}{col 42}{res}{space 2} 5.183035{col 54}{space 2} 1.613237{col 65}{space 1}    3.21{col 74}{space 3}0.001{col 82}{space 4} 2.021149{col 95}{space 3} 8.344921
{txt}{hline 41}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.165182{col 44} .5731745{col 58} 2.219509{col 70} 4.513782
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}  5.37114{col 44}  .232829{col 58} 4.933652{col 70} 5.847423
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}211.49{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.enep) at(niche_party_previous=(0 1) leaderdom=(0 10 20 30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,185

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.enep       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2682894{col 26}{space 2} .2595521{col 37}{space 1}   -1.03{col 46}{space 3}0.301{col 54}{space 4}-.7770022{col 67}{space 3} .2404233
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2860698{col 26}{space 2} .1476024{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-.5753651{col 67}{space 3} .0032256
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3038501{col 26}{space 2} .0982506{col 37}{space 1}   -3.09{col 46}{space 3}0.002{col 54}{space 4}-.4964177{col 67}{space 3}-.1112825
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.3216304{col 26}{space 2} .1759756{col 37}{space 1}   -1.83{col 46}{space 3}0.068{col 54}{space 4}-.6665363{col 67}{space 3} .0232755
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.4666398{col 26}{space 2} .4912631{col 37}{space 1}   -0.95{col 46}{space 3}0.342{col 54}{space 4}-1.429498{col 67}{space 3} .4962181
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.3155447{col 26}{space 2} .2800748{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.8644812{col 67}{space 3} .2333918
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1644497{col 26}{space 2} .1535932{col 37}{space 1}   -1.07{col 46}{space 3}0.284{col 54}{space 4}-.4654868{col 67}{space 3} .1365874
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0133546{col 26}{space 2} .2771035{col 37}{space 1}   -0.05{col 46}{space 3}0.962{col 54}{space 4}-.5564675{col 67}{space 3} .5297582
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of ENEP t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Lead. dom.=0" 6 "Lead. dom.=10" 7 "Lead. dom.=20" 8 "Lead. dom.=30")) ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous leaderdom{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.enep##i.niche_party_previous##c.l.vote_share vote_loss party_age lopposition i.decade c.l.LogMedian##c.l.cdiv || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4467.8566}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4467.8566}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,633
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       201

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}18{txt}){col 67}={col 70}{res}    47.22
{txt}Log likelihood = {res}-4467.8566{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0002

{txt}{hline 43}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                 nicheness{col 44}{c |}      Coef.{col 56}   Std. Err.{col 68}      z{col 76}   P>|z|{col 84}     [95% Con{col 97}f. Interval]
{hline 43}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 38}enep {c |}
{space 39}L1. {c |}{col 44}{res}{space 2}-.1580054{col 56}{space 2} .1615502{col 67}{space 1}   -0.98{col 76}{space 3}0.328{col 84}{space 4}-.4746379{col 97}{space 3} .1586271
{txt}{space 42} {c |}
{space 22}niche_party_previous {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2}-.6182591{col 56}{space 2} 1.189913{col 67}{space 1}   -0.52{col 76}{space 3}0.603{col 84}{space 4}-2.950445{col 97}{space 3} 1.713927
{txt}{space 42} {c |}
{space 14}niche_party_previous#cL.enep {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2} .2832156{col 56}{space 2} .2587096{col 67}{space 1}    1.09{col 76}{space 3}0.274{col 84}{space 4} -.223846{col 97}{space 3} .7902771
{txt}{space 42} {c |}
{space 32}vote_share {c |}
{space 39}L1. {c |}{col 44}{res}{space 2}-.0317896{col 56}{space 2} .0343487{col 67}{space 1}   -0.93{col 76}{space 3}0.355{col 84}{space 4}-.0991117{col 97}{space 3} .0355326
{txt}{space 42} {c |}
{space 21}cL.enep#cL.vote_share {c |}{col 44}{res}{space 2} -.009317{col 56}{space 2} .0089172{col 67}{space 1}   -1.04{col 76}{space 3}0.296{col 84}{space 4}-.0267944{col 97}{space 3} .0081603
{txt}{space 42} {c |}
{space 8}niche_party_previous#cL.vote_share {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2} .0132639{col 56}{space 2} .0637653{col 67}{space 1}    0.21{col 76}{space 3}0.835{col 84}{space 4}-.1117139{col 97}{space 3} .1382416
{txt}{space 42} {c |}
niche_party_previous#cL.enep#cL.vote_share {c |}
{space 35}NP t-1  {c |}{col 44}{res}{space 2}-.0043495{col 56}{space 2} .0182839{col 67}{space 1}   -0.24{col 76}{space 3}0.812{col 84}{space 4}-.0401853{col 97}{space 3} .0314864
{txt}{space 42} {c |}
{space 33}vote_loss {c |}{col 44}{res}{space 2} .0084387{col 56}{space 2} .0223154{col 67}{space 1}    0.38{col 76}{space 3}0.705{col 84}{space 4}-.0352987{col 97}{space 3} .0521762
{txt}{space 33}party_age {c |}{col 44}{res}{space 2}-.0122478{col 56}{space 2} .0066895{col 67}{space 1}   -1.83{col 76}{space 3}0.067{col 84}{space 4} -.025359{col 97}{space 3} .0008635
{txt}{space 31}lopposition {c |}{col 44}{res}{space 2}  .098131{col 56}{space 2} .2303805{col 67}{space 1}    0.43{col 76}{space 3}0.670{col 84}{space 4}-.3534064{col 97}{space 3} .5496685
{txt}{space 42} {c |}
{space 36}decade {c |}
{space 32}1960-1969  {c |}{col 44}{res}{space 2}  .361319{col 56}{space 2} .3659514{col 67}{space 1}    0.99{col 76}{space 3}0.323{col 84}{space 4}-.3559326{col 97}{space 3} 1.078571
{txt}{space 32}1970-1979  {c |}{col 44}{res}{space 2} .0621475{col 56}{space 2} .3693191{col 67}{space 1}    0.17{col 76}{space 3}0.866{col 84}{space 4}-.6617047{col 97}{space 3} .7859998
{txt}{space 32}1980-1989  {c |}{col 44}{res}{space 2} .2399295{col 56}{space 2} .3924526{col 67}{space 1}    0.61{col 76}{space 3}0.541{col 84}{space 4}-.5292636{col 97}{space 3} 1.009122
{txt}{space 32}1990-1999  {c |}{col 44}{res}{space 2}  .149809{col 56}{space 2} .4380063{col 67}{space 1}    0.34{col 76}{space 3}0.732{col 84}{space 4}-.7086676{col 97}{space 3} 1.008286
{txt}{space 29}2000 onwards  {c |}{col 44}{res}{space 2} .4499122{col 56}{space 2} .4699448{col 67}{space 1}    0.96{col 76}{space 3}0.338{col 84}{space 4}-.4711627{col 97}{space 3} 1.370987
{txt}{space 42} {c |}
{space 33}LogMedian {c |}
{space 39}L1. {c |}{col 44}{res}{space 2} .1451176{col 56}{space 2} .2627412{col 67}{space 1}    0.55{col 76}{space 3}0.581{col 84}{space 4}-.3698457{col 97}{space 3} .6600809
{txt}{space 42} {c |}
{space 38}cdiv {c |}
{space 39}L1. {c |}{col 44}{res}{space 2} 1.829235{col 56}{space 2} 2.583998{col 67}{space 1}    0.71{col 76}{space 3}0.479{col 84}{space 4}-3.235309{col 97}{space 3} 6.893778
{txt}{space 42} {c |}
{space 22}cL.LogMedian#cL.cdiv {c |}{col 44}{res}{space 2}-.4946455{col 56}{space 2} 1.000892{col 67}{space 1}   -0.49{col 76}{space 3}0.621{col 84}{space 4}-2.456357{col 97}{space 3} 1.467066
{txt}{space 42} {c |}
{space 37}_cons {c |}{col 44}{res}{space 2} 4.158765{col 56}{space 2} 1.022034{col 67}{space 1}    4.07{col 76}{space 3}0.000{col 84}{space 4} 2.155616{col 97}{space 3} 6.161914
{txt}{hline 43}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 8.857456{col 44} 1.296266{col 58} 6.648716{col 70} 11.79995
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.21129{col 44}  .427286{col 58} 10.40434{col 70} 12.08083
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}203.36{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.enep) at(niche_party_previous=(0 1) L.vote_share=(0 10 30 50)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,633

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.enep       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1580054{col 26}{space 2} .1615502{col 37}{space 1}   -0.98{col 46}{space 3}0.328{col 54}{space 4}-.4746379{col 67}{space 3} .1586271
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2511757{col 26}{space 2}  .122142{col 37}{space 1}   -2.06{col 46}{space 3}0.040{col 54}{space 4}-.4905697{col 67}{space 3}-.0117817
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.4375163{col 26}{space 2} .2006705{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4}-.8308233{col 67}{space 3}-.0442093
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.6238569{col 26}{space 2} .3594876{col 37}{space 1}   -1.74{col 46}{space 3}0.083{col 54}{space 4} -1.32844{col 67}{space 3} .0807259
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .1252102{col 26}{space 2} .2606349{col 37}{space 1}    0.48{col 46}{space 3}0.631{col 54}{space 4}-.3856248{col 67}{space 3} .6360451
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0114549{col 26}{space 2} .1975006{col 37}{space 1}   -0.06{col 46}{space 3}0.954{col 54}{space 4}-.3985489{col 67}{space 3} .3756392
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.2847849{col 26}{space 2} .4214658{col 37}{space 1}   -0.68{col 46}{space 3}0.499{col 54}{space 4}-1.110843{col 67}{space 3} .5412729
{txt}{space 10}8  {c |}{col 14}{res}{space 2} -.558115{col 26}{space 2} .7604125{col 37}{space 1}   -0.73{col 46}{space 3}0.463{col 54}{space 4}-2.048496{col 67}{space 3} .9322661
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of ENEP t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Size t-1=0" 6 "Size t-1=10" 7 "Size t-1=30" 8 "Size t-1=50")) ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous L.vote_share{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.enep##i.niche_party_previous##i.lopposition vote_loss party_age l.vote_share i.decade c.l.LogMedian##c.l.cdiv || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4466.9779}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4466.9779}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,633
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       201

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}18{txt}){col 67}={col 70}{res}    48.99
{txt}Log likelihood = {res}-4466.9779{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 41}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                               nicheness{col 42}{c |}      Coef.{col 54}   Std. Err.{col 66}      z{col 74}   P>|z|{col 82}     [95% Con{col 95}f. Interval]
{hline 41}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}enep {c |}
{space 37}L1. {c |}{col 42}{res}{space 2}-.2659417{col 54}{space 2} .1449382{col 65}{space 1}   -1.83{col 74}{space 3}0.067{col 82}{space 4}-.5500154{col 95}{space 3} .0181319
{txt}{space 40} {c |}
{space 20}niche_party_previous {c |}
{space 33}NP t-1  {c |}{col 42}{res}{space 2} 1.336067{col 54}{space 2} 1.495415{col 65}{space 1}    0.89{col 74}{space 3}0.372{col 82}{space 4}-1.594891{col 95}{space 3} 4.267026
{txt}{space 40} {c |}
{space 12}niche_party_previous#cL.enep {c |}
{space 33}NP t-1  {c |}{col 42}{res}{space 2} -.253431{col 54}{space 2} .3481176{col 65}{space 1}   -0.73{col 74}{space 3}0.467{col 82}{space 4} -.935729{col 95}{space 3} .4288669
{txt}{space 40} {c |}
{space 29}lopposition {c |}
{space 25}Opposition t-1  {c |}{col 42}{res}{space 2} .1742617{col 54}{space 2} .6640197{col 65}{space 1}    0.26{col 74}{space 3}0.793{col 82}{space 4}-1.127193{col 95}{space 3} 1.475716
{txt}{space 40} {c |}
{space 21}lopposition#cL.enep {c |}
{space 25}Opposition t-1  {c |}{col 42}{res}{space 2}-.0227408{col 54}{space 2} .1385184{col 65}{space 1}   -0.16{col 74}{space 3}0.870{col 82}{space 4} -.294232{col 95}{space 3} .2487503
{txt}{space 40} {c |}
{space 8}niche_party_previous#lopposition {c |}
{space 18}NP t-1#Opposition t-1  {c |}{col 42}{res}{space 2}-2.381105{col 54}{space 2} 1.749186{col 65}{space 1}   -1.36{col 74}{space 3}0.173{col 82}{space 4}-5.809446{col 95}{space 3} 1.047236
{txt}{space 40} {c |}
niche_party_previous#lopposition#cL.enep {c |}
{space 18}NP t-1#Opposition t-1  {c |}{col 42}{res}{space 2}  .652349{col 54}{space 2} .3985774{col 65}{space 1}    1.64{col 74}{space 3}0.102{col 82}{space 4}-.1288483{col 95}{space 3} 1.433546
{txt}{space 40} {c |}
{space 31}vote_loss {c |}{col 42}{res}{space 2} .0083957{col 54}{space 2} .0222954{col 65}{space 1}    0.38{col 74}{space 3}0.706{col 82}{space 4}-.0353025{col 95}{space 3}  .052094
{txt}{space 31}party_age {c |}{col 42}{res}{space 2}-.0128872{col 54}{space 2} .0066292{col 65}{space 1}   -1.94{col 74}{space 3}0.052{col 82}{space 4}-.0258802{col 95}{space 3} .0001058
{txt}{space 40} {c |}
{space 30}vote_share {c |}
{space 37}L1. {c |}{col 42}{res}{space 2}-.0649749{col 54}{space 2} .0159372{col 65}{space 1}   -4.08{col 74}{space 3}0.000{col 82}{space 4}-.0962112{col 95}{space 3}-.0337386
{txt}{space 40} {c |}
{space 34}decade {c |}
{space 30}1960-1969  {c |}{col 42}{res}{space 2} .3876171{col 54}{space 2}  .365258{col 65}{space 1}    1.06{col 74}{space 3}0.289{col 82}{space 4}-.3282755{col 95}{space 3}  1.10351
{txt}{space 30}1970-1979  {c |}{col 42}{res}{space 2} .0646745{col 54}{space 2} .3689957{col 65}{space 1}    0.18{col 74}{space 3}0.861{col 82}{space 4}-.6585438{col 95}{space 3} .7878927
{txt}{space 30}1980-1989  {c |}{col 42}{res}{space 2} .2568937{col 54}{space 2} .3926412{col 65}{space 1}    0.65{col 74}{space 3}0.513{col 82}{space 4} -.512669{col 95}{space 3} 1.026456
{txt}{space 30}1990-1999  {c |}{col 42}{res}{space 2} .1645689{col 54}{space 2} .4380499{col 65}{space 1}    0.38{col 74}{space 3}0.707{col 82}{space 4}-.6939931{col 95}{space 3} 1.023131
{txt}{space 27}2000 onwards  {c |}{col 42}{res}{space 2} .4405935{col 54}{space 2} .4699122{col 65}{space 1}    0.94{col 74}{space 3}0.348{col 82}{space 4}-.4804176{col 95}{space 3} 1.361605
{txt}{space 40} {c |}
{space 31}LogMedian {c |}
{space 37}L1. {c |}{col 42}{res}{space 2} .1575931{col 54}{space 2} .2624601{col 65}{space 1}    0.60{col 74}{space 3}0.548{col 82}{space 4}-.3568193{col 95}{space 3} .6720055
{txt}{space 40} {c |}
{space 36}cdiv {c |}
{space 37}L1. {c |}{col 42}{res}{space 2} 1.968115{col 54}{space 2} 2.572593{col 65}{space 1}    0.77{col 74}{space 3}0.444{col 82}{space 4}-3.074074{col 95}{space 3} 7.010305
{txt}{space 40} {c |}
{space 20}cL.LogMedian#cL.cdiv {c |}{col 42}{res}{space 2}-.5765279{col 54}{space 2} .9954058{col 65}{space 1}   -0.58{col 74}{space 3}0.562{col 82}{space 4}-2.527487{col 95}{space 3} 1.374432
{txt}{space 40} {c |}
{space 35}_cons {c |}{col 42}{res}{space 2} 4.581555{col 54}{space 2} 1.015537{col 65}{space 1}    4.51{col 74}{space 3}0.000{col 82}{space 4} 2.591139{col 95}{space 3} 6.571971
{txt}{hline 41}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 8.859162{col 44} 1.290896{col 58}  6.65827{col 70} 11.78756
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.19773{col 44} .4264812{col 58} 10.39227{col 70}  12.0656
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}208.76{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.enep) at(niche_party_previous=(0 1) lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,633

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.enep       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2659417{col 26}{space 2} .1449382{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4}-.5500154{col 67}{space 3} .0181319
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2886826{col 26}{space 2} .1328662{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-.5490956{col 67}{space 3}-.0282696
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5193728{col 26}{space 2} .3609521{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-1.226826{col 67}{space 3} .1880803
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1102354{col 26}{space 2} .2058128{col 37}{space 1}    0.54{col 46}{space 3}0.592{col 54}{space 4}-.2931503{col 67}{space 3} .5136211
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of ENEP t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13)) ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(3 "Government t-1" 4 "Opposition t-1")) ///
> graphregion(fcolor(white)) name(e, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d e, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA11.wmf", replace
{txt}
{com}. 
. **Replicate Table A10 and Figure A12
. 
. xtmelogit inalliance l.enep norepres lopposition l.office_exp l.alliance_exp l.totparlparties party_age c.l.LogMedian##c.l.cdiv if linalliance==1  || ccode: , var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-123.64155}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-123.56958}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-122.12885}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-122.12885}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-121.76186}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -121.7548}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-121.75479}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       323
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       14

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      23.1
{txt}{col 63}max{col 67}={col 69}{res}        73

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}10{txt}){col 67}={col 70}{res}    30.76
{txt}Log likelihood = {res}-121.75479{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0006

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          inalliance{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}enep {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .3268984{col 34}{space 2} .1715719{col 45}{space 1}    1.91{col 54}{space 3}0.057{col 62}{space 4}-.0093763{col 75}{space 3} .6631731
{txt}{space 20} {c |}
{space 12}norepres {c |}{col 22}{res}{space 2}-.6447196{col 34}{space 2} .6208192{col 45}{space 1}   -1.04{col 54}{space 3}0.299{col 62}{space 4}-1.861503{col 75}{space 3} .5720637
{txt}{space 9}lopposition {c |}{col 22}{res}{space 2}-.2493059{col 34}{space 2} .5930058{col 45}{space 1}   -0.42{col 54}{space 3}0.674{col 62}{space 4}-1.411576{col 75}{space 3} .9129642
{txt}{space 20} {c |}
{space 10}office_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.1143832{col 34}{space 2} .8069308{col 45}{space 1}   -0.14{col 54}{space 3}0.887{col 62}{space 4}-1.695938{col 75}{space 3} 1.467172
{txt}{space 20} {c |}
{space 8}alliance_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} 2.050795{col 34}{space 2} .6556063{col 45}{space 1}    3.13{col 54}{space 3}0.002{col 62}{space 4} .7658305{col 75}{space 3}  3.33576
{txt}{space 20} {c |}
{space 6}totparlparties {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0721517{col 34}{space 2} .0729962{col 45}{space 1}   -0.99{col 54}{space 3}0.323{col 62}{space 4}-.2152216{col 75}{space 3} .0709183
{txt}{space 20} {c |}
{space 11}party_age {c |}{col 22}{res}{space 2} .0066411{col 34}{space 2} .0063312{col 45}{space 1}    1.05{col 54}{space 3}0.294{col 62}{space 4}-.0057678{col 75}{space 3} .0190499
{txt}{space 20} {c |}
{space 11}LogMedian {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.4455189{col 34}{space 2} .3102926{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4}-1.053681{col 75}{space 3} .1626435
{txt}{space 20} {c |}
{space 16}cdiv {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-3.462354{col 34}{space 2} 3.907563{col 45}{space 1}   -0.89{col 54}{space 3}0.376{col 62}{space 4}-11.12104{col 75}{space 3} 4.196329
{txt}{space 20} {c |}
cL.LogMedian#cL.cdiv {c |}{col 22}{res}{space 2}-.1651547{col 34}{space 2} 1.817893{col 45}{space 1}   -0.09{col 54}{space 3}0.928{col 62}{space 4} -3.72816{col 75}{space 3}  3.39785
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .5195884{col 34}{space 2} 1.297155{col 45}{space 1}    0.40{col 54}{space 3}0.689{col 62}{space 4}-2.022788{col 75}{space 3} 3.061965
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3723817{col 44} .4596515{col 58} .0331362{col 70} 4.184793
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}1.28{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.1294
{txt}
{com}. est store mod1
{txt}
{com}. 
. xtmelogit inalliance l.enep l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age c.l.LogMedian##c.l.cdiv if linalliance==0  || ccode: , var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-182.71005}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-180.35104}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-180.00675}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-180.00675}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-179.99872}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -179.9987}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res: -179.9987}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,927
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        12
{txt}{col 63}avg{col 67}={col 69}{res}      91.8
{txt}{col 63}max{col 67}={col 69}{res}       209

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}12{txt}){col 67}={col 70}{res}    38.01
{txt}Log likelihood = {res} -179.9987{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0002

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          inalliance{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}enep {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .358569{col 34}{space 2} .1338313{col 45}{space 1}    2.68{col 54}{space 3}0.007{col 62}{space 4} .0962645{col 75}{space 3} .6208736
{txt}{space 20} {c |}
{space 10}advantager {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-1.176902{col 34}{space 2} .7303775{col 45}{space 1}   -1.61{col 54}{space 3}0.107{col 62}{space 4}-2.608415{col 75}{space 3} .2546119
{txt}{space 20} {c |}
{space 12}norepres {c |}{col 22}{res}{space 2} .6634034{col 34}{space 2} .7937975{col 45}{space 1}    0.84{col 54}{space 3}0.403{col 62}{space 4}-.8924111{col 75}{space 3} 2.219218
{txt}{space 9}lopposition {c |}{col 22}{res}{space 2}-.3962299{col 34}{space 2}  .551397{col 45}{space 1}   -0.72{col 54}{space 3}0.472{col 62}{space 4}-1.476948{col 75}{space 3} .6844884
{txt}{space 20} {c |}
{space 10}office_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} -1.02675{col 34}{space 2} .7534825{col 45}{space 1}   -1.36{col 54}{space 3}0.173{col 62}{space 4}-2.503549{col 75}{space 3} .4500485
{txt}{space 20} {c |}
{space 8}alliance_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .5156782{col 34}{space 2} 1.615667{col 45}{space 1}    0.32{col 54}{space 3}0.750{col 62}{space 4}-2.650971{col 75}{space 3} 3.682327
{txt}{space 20} {c |}
{space 6}totparlparties {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .1370261{col 34}{space 2}  .082258{col 45}{space 1}    1.67{col 54}{space 3}0.096{col 62}{space 4}-.0241965{col 75}{space 3} .2982488
{txt}{space 20} {c |}
{space 8}lr_extremity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.1070928{col 34}{space 2} .0856672{col 45}{space 1}   -1.25{col 54}{space 3}0.211{col 62}{space 4}-.2749974{col 75}{space 3} .0608118
{txt}{space 20} {c |}
{space 11}party_age {c |}{col 22}{res}{space 2} .0005853{col 34}{space 2} .0058421{col 45}{space 1}    0.10{col 54}{space 3}0.920{col 62}{space 4}-.0108649{col 75}{space 3} .0120355
{txt}{space 20} {c |}
{space 11}LogMedian {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.3219486{col 34}{space 2} .2975661{col 45}{space 1}   -1.08{col 54}{space 3}0.279{col 62}{space 4}-.9051675{col 75}{space 3} .2612703
{txt}{space 20} {c |}
{space 16}cdiv {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-10.61653{col 34}{space 2} 4.389484{col 45}{space 1}   -2.42{col 54}{space 3}0.016{col 62}{space 4}-19.21976{col 75}{space 3}-2.013302
{txt}{space 20} {c |}
cL.LogMedian#cL.cdiv {c |}{col 22}{res}{space 2} 2.202412{col 34}{space 2} 1.707001{col 45}{space 1}    1.29{col 54}{space 3}0.197{col 62}{space 4}-1.143249{col 75}{space 3} 5.548073
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-3.707216{col 34}{space 2} 1.266954{col 45}{space 1}   -2.93{col 54}{space 3}0.003{col 62}{space 4}-6.190401{col 75}{space 3}-1.224031
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .9635964{col 44} .6595734{col 58} .2519156{col 70} 3.685829
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}12.03{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0003
{txt}
{com}. est store mod2
{txt}
{com}. 
. xtmelogit inalliance c.l.enep##c.party_age l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity c.l.LogMedian##c.l.cdiv if linalliance==0  || ccode: , var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -182.7345}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -180.2416}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-179.91049}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-179.91049}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-179.90336}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-179.90334}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,927
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        12
{txt}{col 63}avg{col 67}={col 69}{res}      91.8
{txt}{col 63}max{col 67}={col 69}{res}       209

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}    37.79
{txt}Log likelihood = {res}-179.90334{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0003

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          inalliance{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}enep {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .3128681{col 34}{space 2} .1707435{col 45}{space 1}    1.83{col 54}{space 3}0.067{col 62}{space 4} -.021783{col 75}{space 3} .6475193
{txt}{space 20} {c |}
{space 11}party_age {c |}{col 22}{res}{space 2}-.0067183{col 34}{space 2} .0178308{col 45}{space 1}   -0.38{col 54}{space 3}0.706{col 62}{space 4} -.041666{col 75}{space 3} .0282294
{txt}{space 20} {c |}
{space 1}cL.enep#c.party_age {c |}{col 22}{res}{space 2} .0014942{col 34}{space 2} .0034263{col 45}{space 1}    0.44{col 54}{space 3}0.663{col 62}{space 4}-.0052212{col 75}{space 3} .0082096
{txt}{space 20} {c |}
{space 10}advantager {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-1.181634{col 34}{space 2} .7333782{col 45}{space 1}   -1.61{col 54}{space 3}0.107{col 62}{space 4}-2.619029{col 75}{space 3} .2557608
{txt}{space 20} {c |}
{space 12}norepres {c |}{col 22}{res}{space 2} .6351664{col 34}{space 2} .7972332{col 45}{space 1}    0.80{col 54}{space 3}0.426{col 62}{space 4} -.927382{col 75}{space 3} 2.197715
{txt}{space 9}lopposition {c |}{col 22}{res}{space 2} -.400619{col 34}{space 2} .5515045{col 45}{space 1}   -0.73{col 54}{space 3}0.468{col 62}{space 4}-1.481548{col 75}{space 3}   .68031
{txt}{space 20} {c |}
{space 10}office_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-1.055132{col 34}{space 2} .7560938{col 45}{space 1}   -1.40{col 54}{space 3}0.163{col 62}{space 4}-2.537049{col 75}{space 3} .4267843
{txt}{space 20} {c |}
{space 8}alliance_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .5572819{col 34}{space 2} 1.615959{col 45}{space 1}    0.34{col 54}{space 3}0.730{col 62}{space 4} -2.60994{col 75}{space 3} 3.724504
{txt}{space 20} {c |}
{space 6}totparlparties {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .135887{col 34}{space 2} .0825277{col 45}{space 1}    1.65{col 54}{space 3}0.100{col 62}{space 4}-.0258644{col 75}{space 3} .2976383
{txt}{space 20} {c |}
{space 8}lr_extremity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.1066074{col 34}{space 2} .0851774{col 45}{space 1}   -1.25{col 54}{space 3}0.211{col 62}{space 4} -.273552{col 75}{space 3} .0603372
{txt}{space 20} {c |}
{space 11}LogMedian {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.3194913{col 34}{space 2} .2992194{col 45}{space 1}   -1.07{col 54}{space 3}0.286{col 62}{space 4}-.9059505{col 75}{space 3} .2669678
{txt}{space 20} {c |}
{space 16}cdiv {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-10.43381{col 34}{space 2} 4.417093{col 45}{space 1}   -2.36{col 54}{space 3}0.018{col 62}{space 4}-19.09115{col 75}{space 3}-1.776468
{txt}{space 20} {c |}
cL.LogMedian#cL.cdiv {c |}{col 22}{res}{space 2} 2.137488{col 34}{space 2} 1.714347{col 45}{space 1}    1.25{col 54}{space 3}0.212{col 62}{space 4}-1.222571{col 75}{space 3} 5.497547
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-3.464816{col 34}{space 2}  1.38402{col 45}{space 1}   -2.50{col 54}{space 3}0.012{col 62}{space 4}-6.177445{col 75}{space 3}-.7521872
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  .992149{col 44} .6750428{col 58} .2614765{col 70} 3.764621
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}12.22{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0002
{txt}
{com}. est store mod3
{txt}
{com}. 
. margins, dydx(L.enep) at(party_age=(0(1)181)) l(95) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,927

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{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.enep}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{space 8}135  {c |}{col 14}{res}{space 2} .5130943{col 26}{space 2} .3776984{col 37}{space 1}    1.36{col 46}{space 3}0.174{col 54}{space 4} -.227181{col 67}{space 3}  1.25337
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{txt}{space 8}138  {c |}{col 14}{res}{space 2}  .517577{col 26}{space 2} .3873269{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.2415698{col 67}{space 3} 1.276724
{txt}{space 8}139  {c |}{col 14}{res}{space 2} .5190712{col 26}{space 2} .3905438{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.2463805{col 67}{space 3} 1.284523
{txt}{space 8}140  {c |}{col 14}{res}{space 2} .5205655{col 26}{space 2} .3937642{col 37}{space 1}    1.32{col 46}{space 3}0.186{col 54}{space 4}-.2511981{col 67}{space 3} 1.292329
{txt}{space 8}141  {c |}{col 14}{res}{space 2} .5220597{col 26}{space 2}  .396988{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.2560225{col 67}{space 3} 1.300142
{txt}{space 8}142  {c |}{col 14}{res}{space 2} .5235539{col 26}{space 2} .4002152{col 37}{space 1}    1.31{col 46}{space 3}0.191{col 54}{space 4}-.2608535{col 67}{space 3} 1.307961
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{txt}{space 8}151  {c |}{col 14}{res}{space 2} .5370019{col 26}{space 2} .4293989{col 37}{space 1}    1.25{col 46}{space 3}0.211{col 54}{space 4}-.3046044{col 67}{space 3} 1.378608
{txt}{space 8}152  {c |}{col 14}{res}{space 2} .5384962{col 26}{space 2} .4326557{col 37}{space 1}    1.24{col 46}{space 3}0.213{col 54}{space 4}-.3094933{col 67}{space 3} 1.386486
{txt}{space 8}153  {c |}{col 14}{res}{space 2} .5399904{col 26}{space 2}  .435915{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.3143874{col 67}{space 3} 1.394368
{txt}{space 8}154  {c |}{col 14}{res}{space 2} .5414846{col 26}{space 2}  .439177{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-.3192864{col 67}{space 3} 1.402256
{txt}{space 8}155  {c |}{col 14}{res}{space 2} .5429788{col 26}{space 2} .4424414{col 37}{space 1}    1.23{col 46}{space 3}0.220{col 54}{space 4}-.3241903{col 67}{space 3} 1.410148
{txt}{space 8}156  {c |}{col 14}{res}{space 2} .5444731{col 26}{space 2} .4457082{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4} -.329099{col 67}{space 3} 1.418045
{txt}{space 8}157  {c |}{col 14}{res}{space 2} .5459673{col 26}{space 2} .4489774{col 37}{space 1}    1.22{col 46}{space 3}0.224{col 54}{space 4}-.3340123{col 67}{space 3} 1.425947
{txt}{space 8}158  {c |}{col 14}{res}{space 2} .5474615{col 26}{space 2}  .452249{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4}-.3389302{col 67}{space 3} 1.433853
{txt}{space 8}159  {c |}{col 14}{res}{space 2} .5489557{col 26}{space 2} .4555228{col 37}{space 1}    1.21{col 46}{space 3}0.228{col 54}{space 4}-.3438525{col 67}{space 3} 1.441764
{txt}{space 8}160  {c |}{col 14}{res}{space 2}   .55045{col 26}{space 2} .4587988{col 37}{space 1}    1.20{col 46}{space 3}0.230{col 54}{space 4}-.3487792{col 67}{space 3} 1.449679
{txt}{space 8}161  {c |}{col 14}{res}{space 2} .5519442{col 26}{space 2}  .462077{col 37}{space 1}    1.19{col 46}{space 3}0.232{col 54}{space 4}-.3537102{col 67}{space 3} 1.457599
{txt}{space 8}162  {c |}{col 14}{res}{space 2} .5534384{col 26}{space 2} .4653574{col 37}{space 1}    1.19{col 46}{space 3}0.234{col 54}{space 4}-.3586453{col 67}{space 3} 1.465522
{txt}{space 8}163  {c |}{col 14}{res}{space 2} .5549326{col 26}{space 2} .4686398{col 37}{space 1}    1.18{col 46}{space 3}0.236{col 54}{space 4}-.3635846{col 67}{space 3}  1.47345
{txt}{space 8}164  {c |}{col 14}{res}{space 2} .5564269{col 26}{space 2} .4719243{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.3685278{col 67}{space 3} 1.481382
{txt}{space 8}165  {c |}{col 14}{res}{space 2} .5579211{col 26}{space 2} .4752108{col 37}{space 1}    1.17{col 46}{space 3}0.240{col 54}{space 4} -.373475{col 67}{space 3} 1.489317
{txt}{space 8}166  {c |}{col 14}{res}{space 2} .5594153{col 26}{space 2} .4784993{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4} -.378426{col 67}{space 3} 1.497257
{txt}{space 8}167  {c |}{col 14}{res}{space 2} .5609095{col 26}{space 2} .4817897{col 37}{space 1}    1.16{col 46}{space 3}0.244{col 54}{space 4}-.3833808{col 67}{space 3}   1.5052
{txt}{space 8}168  {c |}{col 14}{res}{space 2} .5624038{col 26}{space 2} .4850819{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.3883393{col 67}{space 3} 1.513147
{txt}{space 8}169  {c |}{col 14}{res}{space 2}  .563898{col 26}{space 2}  .488376{col 37}{space 1}    1.15{col 46}{space 3}0.248{col 54}{space 4}-.3933014{col 67}{space 3} 1.521097
{txt}{space 8}170  {c |}{col 14}{res}{space 2} .5653922{col 26}{space 2} .4916719{col 37}{space 1}    1.15{col 46}{space 3}0.250{col 54}{space 4} -.398267{col 67}{space 3} 1.529051
{txt}{space 8}171  {c |}{col 14}{res}{space 2} .5668864{col 26}{space 2} .4949696{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.4032361{col 67}{space 3} 1.537009
{txt}{space 8}172  {c |}{col 14}{res}{space 2} .5683807{col 26}{space 2}  .498269{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-.4082086{col 67}{space 3}  1.54497
{txt}{space 8}173  {c |}{col 14}{res}{space 2} .5698749{col 26}{space 2} .5015701{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.4131845{col 67}{space 3} 1.552934
{txt}{space 8}174  {c |}{col 14}{res}{space 2} .5713691{col 26}{space 2} .5048729{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-.4181636{col 67}{space 3} 1.560902
{txt}{space 8}175  {c |}{col 14}{res}{space 2} .5728633{col 26}{space 2} .5081773{col 37}{space 1}    1.13{col 46}{space 3}0.260{col 54}{space 4}-.4231459{col 67}{space 3} 1.568873
{txt}{space 8}176  {c |}{col 14}{res}{space 2} .5743576{col 26}{space 2} .5114833{col 37}{space 1}    1.12{col 46}{space 3}0.261{col 54}{space 4}-.4281314{col 67}{space 3} 1.576846
{txt}{space 8}177  {c |}{col 14}{res}{space 2} .5758518{col 26}{space 2} .5147909{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.4331199{col 67}{space 3} 1.584823
{txt}{space 8}178  {c |}{col 14}{res}{space 2}  .577346{col 26}{space 2} .5181001{col 37}{space 1}    1.11{col 46}{space 3}0.265{col 54}{space 4}-.4381115{col 67}{space 3} 1.592804
{txt}{space 8}179  {c |}{col 14}{res}{space 2} .5788402{col 26}{space 2} .5214107{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4} -.443106{col 67}{space 3} 1.600786
{txt}{space 8}180  {c |}{col 14}{res}{space 2} .5803345{col 26}{space 2} .5247229{col 37}{space 1}    1.11{col 46}{space 3}0.269{col 54}{space 4}-.4481034{col 67}{space 3} 1.608772
{txt}{space 8}181  {c |}{col 14}{res}{space 2} .5818287{col 26}{space 2} .5280364{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4}-.4531037{col 67}{space 3} 1.616761
{txt}{space 8}182  {c |}{col 14}{res}{space 2} .5833229{col 26}{space 2} .5313515{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.4581068{col 67}{space 3} 1.624753
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,266 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(4,011 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of ENEP t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.enep##c.leaderdom l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age c.l.LogMedian##c.l.cdiv if linalliance==0  || ccode: , var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -65.30328}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-63.245205}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-62.987449}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-62.987449}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-62.971923}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-62.971905}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-62.971905}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,259
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       18

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         8
{txt}{col 63}avg{col 67}={col 69}{res}      69.9
{txt}{col 63}max{col 67}={col 69}{res}       191

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}    25.03
{txt}Log likelihood = {res}-62.971905{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0343

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          inalliance{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}enep {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} 2.215548{col 34}{space 2} .6589593{col 45}{space 1}    3.36{col 54}{space 3}0.001{col 62}{space 4} .9240115{col 75}{space 3} 3.507085
{txt}{space 20} {c |}
{space 11}leaderdom {c |}{col 22}{res}{space 2} .3019808{col 34}{space 2} .1933363{col 45}{space 1}    1.56{col 54}{space 3}0.118{col 62}{space 4}-.0769514{col 75}{space 3}  .680913
{txt}{space 20} {c |}
{space 1}cL.enep#c.leaderdom {c |}{col 22}{res}{space 2}-.0293697{col 34}{space 2} .0233561{col 45}{space 1}   -1.26{col 54}{space 3}0.209{col 62}{space 4}-.0751468{col 75}{space 3} .0164074
{txt}{space 20} {c |}
{space 10}advantager {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-1.342007{col 34}{space 2}   1.3528{col 45}{space 1}   -0.99{col 54}{space 3}0.321{col 62}{space 4}-3.993446{col 75}{space 3} 1.309432
{txt}{space 20} {c |}
{space 12}norepres {c |}{col 22}{res}{space 2}-2.552756{col 34}{space 2} 2.109961{col 45}{space 1}   -1.21{col 54}{space 3}0.226{col 62}{space 4}-6.688203{col 75}{space 3}  1.58269
{txt}{space 9}lopposition {c |}{col 22}{res}{space 2}-.2751577{col 34}{space 2} .7863567{col 45}{space 1}   -0.35{col 54}{space 3}0.726{col 62}{space 4}-1.816389{col 75}{space 3} 1.266073
{txt}{space 20} {c |}
{space 10}office_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.3522766{col 34}{space 2} 1.185146{col 45}{space 1}   -0.30{col 54}{space 3}0.766{col 62}{space 4} -2.67512{col 75}{space 3} 1.970567
{txt}{space 20} {c |}
{space 8}alliance_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-8.976797{col 34}{space 2} 5.316607{col 45}{space 1}   -1.69{col 54}{space 3}0.091{col 62}{space 4}-19.39715{col 75}{space 3} 1.443561
{txt}{space 20} {c |}
{space 6}totparlparties {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0713269{col 34}{space 2} .1963774{col 45}{space 1}   -0.36{col 54}{space 3}0.716{col 62}{space 4}-.4562195{col 75}{space 3} .3135656
{txt}{space 20} {c |}
{space 8}lr_extremity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.5049106{col 34}{space 2} .3261562{col 45}{space 1}   -1.55{col 54}{space 3}0.122{col 62}{space 4}-1.144165{col 75}{space 3} .1343437
{txt}{space 20} {c |}
{space 11}party_age {c |}{col 22}{res}{space 2} .0048974{col 34}{space 2} .0105961{col 45}{space 1}    0.46{col 54}{space 3}0.644{col 62}{space 4}-.0158705{col 75}{space 3} .0256653
{txt}{space 20} {c |}
{space 11}LogMedian {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.9246688{col 34}{space 2} .7626827{col 45}{space 1}   -1.21{col 54}{space 3}0.225{col 62}{space 4}-2.419499{col 75}{space 3} .5701618
{txt}{space 20} {c |}
{space 16}cdiv {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} -14.6034{col 34}{space 2}  10.1695{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4}-34.53526{col 75}{space 3} 5.328454
{txt}{space 20} {c |}
cL.LogMedian#cL.cdiv {c |}{col 22}{res}{space 2}-2.356502{col 34}{space 2} 5.713694{col 45}{space 1}   -0.41{col 54}{space 3}0.680{col 62}{space 4}-13.55514{col 75}{space 3} 8.842133
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-11.90441{col 34}{space 2} 4.679714{col 45}{space 1}   -2.54{col 54}{space 3}0.011{col 62}{space 4}-21.07648{col 75}{space 3}-2.732337
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.373435{col 44} 3.812326{col 58} .3682372{col 70} 30.90417
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}7.32{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0034
{txt}
{com}. est store mod4
{txt}
{com}. 
. margins, dydx(L.enep) at(leaderdom=(0(1)30)) l(95) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,259

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.enep       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.215548{col 26}{space 2} .6589593{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .9240115{col 67}{space 3} 3.507085
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.186178{col 26}{space 2} .6416718{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .9285248{col 67}{space 3} 3.443832
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.156809{col 26}{space 2} .6247792{col 37}{space 1}    3.45{col 46}{space 3}0.001{col 54}{space 4}  .932264{col 67}{space 3} 3.381353
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 2.127439{col 26}{space 2} .6083143{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} .9351648{col 67}{space 3} 3.319713
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 2.098069{col 26}{space 2}  .592313{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .9371572{col 67}{space 3} 3.258981
{txt}{space 10}6  {c |}{col 14}{res}{space 2}   2.0687{col 26}{space 2} .5768137{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4} .9381656{col 67}{space 3} 3.199234
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  2.03933{col 26}{space 2}  .561858{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} .9381085{col 67}{space 3} 3.140551
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  2.00996{col 26}{space 2} .5474904{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .9368987{col 67}{space 3} 3.083022
{txt}{space 10}9  {c |}{col 14}{res}{space 2}  1.98059{col 26}{space 2} .5337585{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4}  .934443{col 67}{space 3} 3.026738
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 1.951221{col 26}{space 2} .5207125{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4}  .930643{col 67}{space 3} 2.971799
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 1.921851{col 26}{space 2} .5084053{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4}  .925395{col 67}{space 3} 2.918307
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 1.892481{col 26}{space 2} .4968917{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} .9185916{col 67}{space 3} 2.866371
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 1.863112{col 26}{space 2} .4862281{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} .9101221{col 67}{space 3} 2.816101
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 1.833742{col 26}{space 2} .4764716{col 37}{space 1}    3.85{col 46}{space 3}0.000{col 54}{space 4} .8998747{col 67}{space 3} 2.767609
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 1.804372{col 26}{space 2}  .467679{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .8877382{col 67}{space 3} 2.721006
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 1.775003{col 26}{space 2} .4599056{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .8736042{col 67}{space 3} 2.676401
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 1.745633{col 26}{space 2} .4532037{col 37}{space 1}    3.85{col 46}{space 3}0.000{col 54}{space 4} .8573699{col 67}{space 3} 2.633896
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 1.716263{col 26}{space 2} .4476216{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} .8389409{col 67}{space 3} 2.593585
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 1.686893{col 26}{space 2} .4432016{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} .8182344{col 67}{space 3} 2.555553
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 1.657524{col 26}{space 2} .4399786{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .7951816{col 67}{space 3} 2.519866
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 1.628154{col 26}{space 2} .4379791{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .7697309{col 67}{space 3} 2.486577
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 1.598784{col 26}{space 2} .4372199{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} .7418492{col 67}{space 3}  2.45572
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 1.569415{col 26}{space 2} .4377074{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4}  .711524{col 67}{space 3} 2.427305
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 1.540045{col 26}{space 2} .4394375{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} .6787633{col 67}{space 3} 2.401327
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 1.510675{col 26}{space 2} .4423956{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .6435958{col 67}{space 3} 2.377755
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 1.481306{col 26}{space 2} .4465574{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .6060692{col 67}{space 3} 2.356542
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 1.451936{col 26}{space 2} .4518894{col 37}{space 1}    3.21{col 46}{space 3}0.001{col 54}{space 4} .5662488{col 67}{space 3} 2.337623
{txt}{space 9}28  {c |}{col 14}{res}{space 2} 1.422566{col 26}{space 2}  .458351{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4} .5242146{col 67}{space 3} 2.320918
{txt}{space 9}29  {c |}{col 14}{res}{space 2} 1.393196{col 26}{space 2} .4658952{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .4800587{col 67}{space 3} 2.306334
{txt}{space 9}30  {c |}{col 14}{res}{space 2} 1.363827{col 26}{space 2} .4744702{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .4338823{col 67}{space 3} 2.293771
{txt}{space 9}31  {c |}{col 14}{res}{space 2} 1.334457{col 26}{space 2} .4840213{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .3857928{col 67}{space 3} 2.283121
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,934 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 30 31
{txt}(4,162 missing values generated)

{com}. 
. twoway hist leaderdom if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Leader dominance",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of ENEP t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.enep##c.l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age c.l.LogMedian##c.l.cdiv if linalliance==0  || ccode: , var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-182.04128}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-179.45057}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-179.23804}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-179.23804}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-179.23609}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-179.23609}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,927
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        12
{txt}{col 63}avg{col 67}={col 69}{res}      91.8
{txt}{col 63}max{col 67}={col 69}{res}       209

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}14{txt}){col 67}={col 70}{res}    36.52
{txt}Log likelihood = {res}-179.23609{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0009

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           inalliance{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}enep {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .3091797{col 35}{space 2} .1599983{col 46}{space 1}    1.93{col 55}{space 3}0.053{col 63}{space 4}-.0044113{col 76}{space 3} .6227707
{txt}{space 21} {c |}
{space 11}vote_share {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.0465577{col 35}{space 2} .0544719{col 46}{space 1}   -0.85{col 55}{space 3}0.393{col 63}{space 4}-.1533207{col 76}{space 3} .0602053
{txt}{space 21} {c |}
cL.enep#cL.vote_share {c |}{col 23}{res}{space 2} .0053034{col 35}{space 2} .0116147{col 46}{space 1}    0.46{col 55}{space 3}0.648{col 63}{space 4}-.0174609{col 76}{space 3} .0280678
{txt}{space 21} {c |}
{space 11}advantager {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} -.843301{col 35}{space 2}  .773388{col 46}{space 1}   -1.09{col 55}{space 3}0.276{col 63}{space 4}-2.359114{col 76}{space 3} .6725116
{txt}{space 21} {c |}
{space 13}norepres {c |}{col 23}{res}{space 2} .7741807{col 35}{space 2} .7921267{col 46}{space 1}    0.98{col 55}{space 3}0.328{col 63}{space 4} -.778359{col 76}{space 3}  2.32672
{txt}{space 10}lopposition {c |}{col 23}{res}{space 2}-.3902905{col 35}{space 2} .5578695{col 46}{space 1}   -0.70{col 55}{space 3}0.484{col 63}{space 4}-1.483695{col 76}{space 3} .7031136
{txt}{space 21} {c |}
{space 11}office_exp {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.8724185{col 35}{space 2} .7688746{col 46}{space 1}   -1.13{col 55}{space 3}0.257{col 63}{space 4}-2.379385{col 76}{space 3}  .634548
{txt}{space 21} {c |}
{space 9}alliance_exp {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .2774064{col 35}{space 2} 1.642198{col 46}{space 1}    0.17{col 55}{space 3}0.866{col 63}{space 4}-2.941242{col 76}{space 3} 3.496055
{txt}{space 21} {c |}
{space 7}totparlparties {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} .1239274{col 35}{space 2} .0833003{col 46}{space 1}    1.49{col 55}{space 3}0.137{col 63}{space 4}-.0393381{col 76}{space 3}  .287193
{txt}{space 21} {c |}
{space 9}lr_extremity {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.1036707{col 35}{space 2}  .085262{col 46}{space 1}   -1.22{col 55}{space 3}0.224{col 63}{space 4}-.2707812{col 76}{space 3} .0634398
{txt}{space 21} {c |}
{space 12}party_age {c |}{col 23}{res}{space 2} .0015435{col 35}{space 2} .0059747{col 46}{space 1}    0.26{col 55}{space 3}0.796{col 63}{space 4}-.0101667{col 76}{space 3} .0132538
{txt}{space 21} {c |}
{space 12}LogMedian {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-.3837442{col 35}{space 2} .3074009{col 46}{space 1}   -1.25{col 55}{space 3}0.212{col 63}{space 4}-.9862389{col 76}{space 3} .2187505
{txt}{space 21} {c |}
{space 17}cdiv {c |}
{space 18}L1. {c |}{col 23}{res}{space 2}-10.99873{col 35}{space 2} 4.513529{col 46}{space 1}   -2.44{col 55}{space 3}0.015{col 63}{space 4}-19.84508{col 76}{space 3}-2.152376
{txt}{space 21} {c |}
{space 1}cL.LogMedian#cL.cdiv {c |}{col 23}{res}{space 2} 2.329929{col 35}{space 2} 1.742437{col 46}{space 1}    1.34{col 55}{space 3}0.181{col 63}{space 4}-1.085185{col 76}{space 3} 5.745042
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}-3.333118{col 35}{space 2} 1.332592{col 46}{space 1}   -2.50{col 55}{space 3}0.012{col 63}{space 4}-5.944949{col 76}{space 3}-.7212863
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.054894{col 44} .7149509{col 58} .2794539{col 70}  3.98206
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}12.81{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0002
{txt}
{com}. est store mod5
{txt}
{com}. 
. margins, dydx(L.enep) at(L.vote_share=(0(1)60)) l(95) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,927

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.enep       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3091797{col 26}{space 2} .1599983{col 37}{space 1}    1.93{col 46}{space 3}0.053{col 54}{space 4}-.0044113{col 67}{space 3} .6227707
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3144831{col 26}{space 2} .1539974{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .0126537{col 67}{space 3} .6163126
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3197866{col 26}{space 2} .1486632{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4}  .028412{col 67}{space 3} .6111612
{txt}{space 10}4  {c |}{col 14}{res}{space 2}   .32509{col 26}{space 2} .1440698{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .0427184{col 67}{space 3} .6074616
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3303935{col 26}{space 2} .1402899{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0554303{col 67}{space 3} .6053566
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .3356969{col 26}{space 2} .1373907{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4}  .066416{col 67}{space 3} .6049778
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .3410003{col 26}{space 2} .1354288{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .0755647{col 67}{space 3}  .606436
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .3463038{col 26}{space 2} .1344452{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0827959{col 67}{space 3} .6098116
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .3516072{col 26}{space 2} .1344615{col 37}{space 1}    2.61{col 46}{space 3}0.009{col 54}{space 4} .0880676{col 67}{space 3} .6151468
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .3569107{col 26}{space 2} .1354771{col 37}{space 1}    2.63{col 46}{space 3}0.008{col 54}{space 4} .0913804{col 67}{space 3} .6224409
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .3622141{col 26}{space 2}   .13747{col 37}{space 1}    2.63{col 46}{space 3}0.008{col 54}{space 4} .0927778{col 67}{space 3} .6316504
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .3675175{col 26}{space 2} .1403986{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0923413{col 67}{space 3} .6426937
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  .372821{col 26}{space 2} .1442059{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0901827{col 67}{space 3} .6554593
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .3781244{col 26}{space 2} .1488244{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4}  .086434{col 67}{space 3} .6698148
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .3834278{col 26}{space 2} .1541813{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0812381{col 67}{space 3} .6856176
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .3887313{col 26}{space 2} .1602025{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .0747402{col 67}{space 3} .7027224
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .3940347{col 26}{space 2} .1668161{col 37}{space 1}    2.36{col 46}{space 3}0.018{col 54}{space 4} .0670812{col 67}{space 3} .7209882
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .3993382{col 26}{space 2} .1739545{col 37}{space 1}    2.30{col 46}{space 3}0.022{col 54}{space 4} .0583935{col 67}{space 3} .7402828
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .4046416{col 26}{space 2} .1815559{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0487985{col 67}{space 3} .7604847
{txt}{space 9}20  {c |}{col 14}{res}{space 2}  .409945{col 26}{space 2} .1895646{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0384053{col 67}{space 3} .7814848
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .4152485{col 26}{space 2} .1979311{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0273107{col 67}{space 3} .8031862
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .4205519{col 26}{space 2} .2066119{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4}    .0156{col 67}{space 3} .8255038
{txt}{space 9}23  {c |}{col 14}{res}{space 2} .4258554{col 26}{space 2} .2155692{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0033475{col 67}{space 3} .8483632
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .4311588{col 26}{space 2} .2247698{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0093819{col 67}{space 3} .8716995
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .4364622{col 26}{space 2}  .234185{col 37}{space 1}    1.86{col 46}{space 3}0.062{col 54}{space 4} -.022532{col 67}{space 3} .8954565
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .4417657{col 26}{space 2} .2437901{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.0360542{col 67}{space 3} .9195855
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .4470691{col 26}{space 2} .2535634{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.0499061{col 67}{space 3} .9440443
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .4523726{col 26}{space 2} .2634862{col 37}{space 1}    1.72{col 46}{space 3}0.086{col 54}{space 4} -.064051{col 67}{space 3} .9687961
{txt}{space 9}29  {c |}{col 14}{res}{space 2}  .457676{col 26}{space 2} .2735423{col 37}{space 1}    1.67{col 46}{space 3}0.094{col 54}{space 4}-.0784571{col 67}{space 3}  .993809
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .4629794{col 26}{space 2} .2837174{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.0930965{col 67}{space 3} 1.019055
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .4682829{col 26}{space 2} .2939993{col 37}{space 1}    1.59{col 46}{space 3}0.111{col 54}{space 4}-.1079451{col 67}{space 3} 1.044511
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .4735863{col 26}{space 2}  .304377{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.1229817{col 67}{space 3} 1.070154
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .4788897{col 26}{space 2} .3148412{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.1381876{col 67}{space 3} 1.095967
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .4841932{col 26}{space 2} .3253834{col 37}{space 1}    1.49{col 46}{space 3}0.137{col 54}{space 4}-.1535466{col 67}{space 3} 1.121933
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .4894966{col 26}{space 2} .3359964{col 37}{space 1}    1.46{col 46}{space 3}0.145{col 54}{space 4}-.1690442{col 67}{space 3} 1.148037
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .4948001{col 26}{space 2} .3466736{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-.1846677{col 67}{space 3} 1.174268
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .5001035{col 26}{space 2} .3574093{col 37}{space 1}    1.40{col 46}{space 3}0.162{col 54}{space 4}-.2004058{col 67}{space 3} 1.200613
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .5054069{col 26}{space 2} .3681983{col 37}{space 1}    1.37{col 46}{space 3}0.170{col 54}{space 4}-.2162484{col 67}{space 3} 1.227062
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .5107104{col 26}{space 2} .3790361{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.2321868{col 67}{space 3} 1.253608
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .5160138{col 26}{space 2} .3899187{col 37}{space 1}    1.32{col 46}{space 3}0.186{col 54}{space 4}-.2482128{col 67}{space 3}  1.28024
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .5213173{col 26}{space 2} .4008424{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-.2643194{col 67}{space 3} 1.306954
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .5266207{col 26}{space 2} .4118039{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4}   -.2805{col 67}{space 3} 1.333741
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .5319241{col 26}{space 2} .4228002{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.2967491{col 67}{space 3} 1.360597
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .5372276{col 26}{space 2} .4338288{col 37}{space 1}    1.24{col 46}{space 3}0.216{col 54}{space 4}-.3130613{col 67}{space 3} 1.387516
{txt}{space 9}45  {c |}{col 14}{res}{space 2}  .542531{col 26}{space 2} .4448872{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4} -.329432{col 67}{space 3} 1.414494
{txt}{space 9}46  {c |}{col 14}{res}{space 2} .5478344{col 26}{space 2} .4559733{col 37}{space 1}    1.20{col 46}{space 3}0.230{col 54}{space 4}-.3458569{col 67}{space 3} 1.441526
{txt}{space 9}47  {c |}{col 14}{res}{space 2} .5531379{col 26}{space 2} .4670851{col 37}{space 1}    1.18{col 46}{space 3}0.236{col 54}{space 4}-.3623321{col 67}{space 3} 1.468608
{txt}{space 9}48  {c |}{col 14}{res}{space 2} .5584413{col 26}{space 2} .4782208{col 37}{space 1}    1.17{col 46}{space 3}0.243{col 54}{space 4}-.3788542{col 67}{space 3} 1.495737
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .5637448{col 26}{space 2} .4893787{col 37}{space 1}    1.15{col 46}{space 3}0.249{col 54}{space 4}-.3954199{col 67}{space 3} 1.522909
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .5690482{col 26}{space 2} .5005575{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.4120264{col 67}{space 3} 1.550123
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .5743516{col 26}{space 2} .5117556{col 37}{space 1}    1.12{col 46}{space 3}0.262{col 54}{space 4}-.4286709{col 67}{space 3} 1.577374
{txt}{space 9}52  {c |}{col 14}{res}{space 2} .5796551{col 26}{space 2} .5229719{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4} -.445351{col 67}{space 3} 1.604661
{txt}{space 9}53  {c |}{col 14}{res}{space 2} .5849585{col 26}{space 2} .5342053{col 37}{space 1}    1.10{col 46}{space 3}0.274{col 54}{space 4}-.4620645{col 67}{space 3} 1.631982
{txt}{space 9}54  {c |}{col 14}{res}{space 2}  .590262{col 26}{space 2} .5454546{col 37}{space 1}    1.08{col 46}{space 3}0.279{col 54}{space 4}-.4788094{col 67}{space 3} 1.659333
{txt}{space 9}55  {c |}{col 14}{res}{space 2} .5955654{col 26}{space 2} .5567189{col 37}{space 1}    1.07{col 46}{space 3}0.285{col 54}{space 4}-.4955836{col 67}{space 3} 1.686714
{txt}{space 9}56  {c |}{col 14}{res}{space 2} .6008688{col 26}{space 2} .5679973{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.5123855{col 67}{space 3} 1.714123
{txt}{space 9}57  {c |}{col 14}{res}{space 2} .6061723{col 26}{space 2}  .579289{col 37}{space 1}    1.05{col 46}{space 3}0.295{col 54}{space 4}-.5292134{col 67}{space 3} 1.741558
{txt}{space 9}58  {c |}{col 14}{res}{space 2} .6114757{col 26}{space 2} .5905933{col 37}{space 1}    1.04{col 46}{space 3}0.301{col 54}{space 4}-.5460659{col 67}{space 3} 1.769017
{txt}{space 9}59  {c |}{col 14}{res}{space 2} .6167792{col 26}{space 2} .6019094{col 37}{space 1}    1.02{col 46}{space 3}0.306{col 54}{space 4}-.5629415{col 67}{space 3}   1.7965
{txt}{space 9}60  {c |}{col 14}{res}{space 2} .6220826{col 26}{space 2} .6132366{col 37}{space 1}    1.01{col 46}{space 3}0.310{col 54}{space 4} -.579839{col 67}{space 3} 1.824004
{txt}{space 9}61  {c |}{col 14}{res}{space 2}  .627386{col 26}{space 2} .6245744{col 37}{space 1}    1.00{col 46}{space 3}0.315{col 54}{space 4}-.5967573{col 67}{space 3} 1.851529
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,266 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(4,132 missing values generated)

{com}. 
. twoway hist lsize if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size t-1",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of ENEP t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(c, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.enep##i.lopposition l.advantager norepres  l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age c.l.LogMedian##c.l.cdiv if linalliance==0  || ccode: , var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-182.64677}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-180.26992}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-179.89726}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-179.89726}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-179.88891}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-179.88891}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,927
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        12
{txt}{col 63}avg{col 67}={col 69}{res}      91.8
{txt}{col 63}max{col 67}={col 69}{res}       209

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}13{txt}){col 67}={col 70}{res}    38.01
{txt}Log likelihood = {res}-179.88891{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0003

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          inalliance{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}enep {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .4070985{col 34}{space 2} .1681274{col 45}{space 1}    2.42{col 54}{space 3}0.015{col 62}{space 4} .0775748{col 75}{space 3} .7366222
{txt}{space 20} {c |}
{space 9}lopposition {c |}
{space 5}Opposition t-1  {c |}{col 22}{res}{space 2} .0356975{col 34}{space 2} 1.078907{col 45}{space 1}    0.03{col 54}{space 3}0.974{col 62}{space 4}-2.078921{col 75}{space 3} 2.150316
{txt}{space 20} {c |}
{space 1}lopposition#cL.enep {c |}
{space 5}Opposition t-1  {c |}{col 22}{res}{space 2}-.0786363{col 34}{space 2} .1674693{col 45}{space 1}   -0.47{col 54}{space 3}0.639{col 62}{space 4}-.4068701{col 75}{space 3} .2495974
{txt}{space 20} {c |}
{space 10}advantager {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-1.163531{col 34}{space 2}  .731779{col 45}{space 1}   -1.59{col 54}{space 3}0.112{col 62}{space 4}-2.597792{col 75}{space 3} .2707295
{txt}{space 20} {c |}
{space 12}norepres {c |}{col 22}{res}{space 2} .6692587{col 34}{space 2}  .792137{col 45}{space 1}    0.84{col 54}{space 3}0.398{col 62}{space 4}-.8833012{col 75}{space 3} 2.221819
{txt}{space 20} {c |}
{space 10}office_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-1.040539{col 34}{space 2} .7578813{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4}-2.525959{col 75}{space 3} .4448813
{txt}{space 20} {c |}
{space 8}alliance_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .5601876{col 34}{space 2} 1.616619{col 45}{space 1}    0.35{col 54}{space 3}0.729{col 62}{space 4}-2.608328{col 75}{space 3} 3.728703
{txt}{space 20} {c |}
{space 6}totparlparties {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .1385359{col 34}{space 2} .0825059{col 45}{space 1}    1.68{col 54}{space 3}0.093{col 62}{space 4}-.0231727{col 75}{space 3} .3002445
{txt}{space 20} {c |}
{space 8}lr_extremity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.1049834{col 34}{space 2} .0856774{col 45}{space 1}   -1.23{col 54}{space 3}0.220{col 62}{space 4} -.272908{col 75}{space 3} .0629412
{txt}{space 20} {c |}
{space 11}party_age {c |}{col 22}{res}{space 2} .0006608{col 34}{space 2} .0058561{col 45}{space 1}    0.11{col 54}{space 3}0.910{col 62}{space 4}-.0108169{col 75}{space 3} .0121385
{txt}{space 20} {c |}
{space 11}LogMedian {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.3218176{col 34}{space 2} .2976147{col 45}{space 1}   -1.08{col 54}{space 3}0.280{col 62}{space 4}-.9051317{col 75}{space 3} .2614966
{txt}{space 20} {c |}
{space 16}cdiv {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-10.63141{col 34}{space 2} 4.388977{col 45}{space 1}   -2.42{col 54}{space 3}0.015{col 62}{space 4}-19.23365{col 75}{space 3}-2.029173
{txt}{space 20} {c |}
cL.LogMedian#cL.cdiv {c |}{col 22}{res}{space 2} 2.205962{col 34}{space 2} 1.708961{col 45}{space 1}    1.29{col 54}{space 3}0.197{col 62}{space 4} -1.14354{col 75}{space 3} 5.555464
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-4.015125{col 34}{space 2} 1.433651{col 45}{space 1}   -2.80{col 54}{space 3}0.005{col 62}{space 4} -6.82503{col 75}{space 3} -1.20522
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .9649805{col 44} .6613244{col 58}  .251866{col 70} 3.697153
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}12.04{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0003
{txt}
{com}. est store mod6
{txt}
{com}. 
. margins, dydx(L.enep) at(lopposition=(0 1)) l(95) 
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,927

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.enep       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4070985{col 26}{space 2} .1681274{col 37}{space 1}    2.42{col 46}{space 3}0.015{col 54}{space 4} .0775748{col 67}{space 3} .7366222
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3284621{col 26}{space 2} .1491265{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0361796{col 67}{space 3} .6207447
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of ENEP t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA12.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5 mod6,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA10.csv", replace
{txt}
{com}. 
. **Replicate Table A11 and Figure A13
. 
. preserve
{txt}
{com}. 
. drop if elec_year==elec_year_parl2
{txt}(260 observations deleted)

{com}. 
. firthlogit merger enep party_age advantager norepres2 opposition office_exp alliance_exp lr_extremity reg_cost party_fin ln_petit  c.LogMedian##c.cdiv 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-59.012636}
rescale:{col 16}penalized log likelihood = {res:-59.012636}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-59.012636}  (not concave)
Iteration 1:{space 3}penalized log likelihood = {res:-56.090683}  
Iteration 2:{space 3}penalized log likelihood = {res: -47.17658}  
Iteration 3:{space 3}penalized log likelihood = {res:-42.911233}  (not concave)
Iteration 4:{space 3}penalized log likelihood = {res:-42.211638}  
Iteration 5:{space 3}penalized log likelihood = {res:-41.564393}  
Iteration 6:{space 3}penalized log likelihood = {res:-41.164746}  (not concave)
Iteration 7:{space 3}penalized log likelihood = {res:   -41.139}  
Iteration 8:{space 3}penalized log likelihood = {res:-41.097205}  
Iteration 9:{space 3}penalized log likelihood = {res:-41.097083}  
Iteration 10:{space 2}penalized log likelihood = {res:-41.097083}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,479
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}     25.41
{txt}Penalized log likelihood = {res}-41.097083{txt}{col 49}Prob > chi2{col 67}= {res}    0.0307

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}enep {c |}{col 20}{res}{space 2} .4968841{col 32}{space 2} .2645407{col 43}{space 1}    1.88{col 52}{space 3}0.060{col 60}{space 4}-.0216062{col 73}{space 3} 1.015374
{txt}{space 9}party_age {c |}{col 20}{res}{space 2}-.0107218{col 32}{space 2} .0115625{col 43}{space 1}   -0.93{col 52}{space 3}0.354{col 60}{space 4}-.0333838{col 73}{space 3} .0119402
{txt}{space 8}advantager {c |}{col 20}{res}{space 2} .4240671{col 32}{space 2} .1945192{col 43}{space 1}    2.18{col 52}{space 3}0.029{col 60}{space 4} .0428164{col 73}{space 3} .8053177
{txt}{space 9}norepres2 {c |}{col 20}{res}{space 2} 2.882616{col 32}{space 2} .7517428{col 43}{space 1}    3.83{col 52}{space 3}0.000{col 60}{space 4} 1.409227{col 73}{space 3} 4.356005
{txt}{space 8}opposition {c |}{col 20}{res}{space 2} .4855887{col 32}{space 2} 1.034057{col 43}{space 1}    0.47{col 52}{space 3}0.639{col 60}{space 4}-1.541126{col 73}{space 3} 2.512303
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2} .3077168{col 32}{space 2}  1.51939{col 43}{space 1}    0.20{col 52}{space 3}0.840{col 60}{space 4}-2.670232{col 73}{space 3} 3.285666
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} 1.758066{col 32}{space 2} 1.378355{col 43}{space 1}    1.28{col 52}{space 3}0.202{col 60}{space 4}-.9434611{col 73}{space 3} 4.459592
{txt}{space 6}lr_extremity {c |}{col 20}{res}{space 2}-.0588668{col 32}{space 2} .1832378{col 43}{space 1}   -0.32{col 52}{space 3}0.748{col 60}{space 4}-.4180064{col 73}{space 3} .3002727
{txt}{space 10}reg_cost {c |}{col 20}{res}{space 2}-1.849044{col 32}{space 2} 2.877317{col 43}{space 1}   -0.64{col 52}{space 3}0.520{col 60}{space 4}-7.488481{col 73}{space 3} 3.790393
{txt}{space 9}party_fin {c |}{col 20}{res}{space 2} 1.676572{col 32}{space 2}  1.79836{col 43}{space 1}    0.93{col 52}{space 3}0.351{col 60}{space 4}-1.848149{col 73}{space 3} 5.201292
{txt}{space 10}ln_petit {c |}{col 20}{res}{space 2}-.0450571{col 32}{space 2} .1942817{col 43}{space 1}   -0.23{col 52}{space 3}0.817{col 60}{space 4}-.4258422{col 73}{space 3}  .335728
{txt}{space 9}LogMedian {c |}{col 20}{res}{space 2} 1.123667{col 32}{space 2}  .433387{col 43}{space 1}    2.59{col 52}{space 3}0.010{col 60}{space 4} .2742446{col 73}{space 3}  1.97309
{txt}{space 14}cdiv {c |}{col 20}{res}{space 2} 12.17995{col 32}{space 2} 4.993817{col 43}{space 1}    2.44{col 52}{space 3}0.015{col 60}{space 4} 2.392248{col 73}{space 3} 21.96765
{txt}{space 18} {c |}
c.LogMedian#c.cdiv {c |}{col 20}{res}{space 2} -9.10659{col 32}{space 2} 3.182083{col 43}{space 1}   -2.86{col 52}{space 3}0.004{col 60}{space 4}-15.34336{col 73}{space 3}-2.869822
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-11.07417{col 32}{space 2} 3.026789{col 43}{space 1}   -3.66{col 52}{space 3}0.000{col 60}{space 4}-17.00657{col 73}{space 3}-5.141774
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod1
{txt}
{com}. firthfit
{txt}(2,454 missing values generated)
(2,454 missing values generated)
(2,454 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -59.013}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -41.097}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    112.194}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    191.681}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.024}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.312}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.032}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.304}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.049}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.497}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.063}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger enep party_age norepres2 opposition office_exp alliance_exp c.LogMedian##c.cdiv 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-295.06057}
rescale:{col 16}penalized log likelihood = {res:-295.06057}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-295.06057}  
Iteration 1:{space 3}penalized log likelihood = {res:-282.98843}  
Iteration 2:{space 3}penalized log likelihood = {res:-276.50643}  
Iteration 3:{space 3}penalized log likelihood = {res:-276.41199}  
Iteration 4:{space 3}penalized log likelihood = {res:-276.41189}  
Iteration 5:{space 3}penalized log likelihood = {res:-276.41189}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,094
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}     31.99
{txt}Penalized log likelihood = {res}-276.41189{txt}{col 49}Prob > chi2{col 67}= {res}    0.0002

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}enep {c |}{col 20}{res}{space 2}-.0128022{col 32}{space 2} .0850418{col 43}{space 1}   -0.15{col 52}{space 3}0.880{col 60}{space 4}-.1794811{col 73}{space 3} .1538768
{txt}{space 9}party_age {c |}{col 20}{res}{space 2}-.0182352{col 32}{space 2} .0058211{col 43}{space 1}   -3.13{col 52}{space 3}0.002{col 60}{space 4}-.0296443{col 73}{space 3}-.0068261
{txt}{space 9}norepres2 {c |}{col 20}{res}{space 2} .1315336{col 32}{space 2} .3304356{col 43}{space 1}    0.40{col 52}{space 3}0.691{col 60}{space 4}-.5161083{col 73}{space 3} .7791754
{txt}{space 8}opposition {c |}{col 20}{res}{space 2} 1.210137{col 32}{space 2} .5301038{col 43}{space 1}    2.28{col 52}{space 3}0.022{col 60}{space 4} .1711529{col 73}{space 3} 2.249121
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2}  .731327{col 32}{space 2} .5862671{col 43}{space 1}    1.25{col 52}{space 3}0.212{col 60}{space 4}-.4177353{col 73}{space 3} 1.880389
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} 1.274674{col 32}{space 2} .3813405{col 43}{space 1}    3.34{col 52}{space 3}0.001{col 60}{space 4} .5272603{col 73}{space 3} 2.022088
{txt}{space 9}LogMedian {c |}{col 20}{res}{space 2} .0534099{col 32}{space 2} .1608352{col 43}{space 1}    0.33{col 52}{space 3}0.740{col 60}{space 4}-.2618212{col 73}{space 3} .3686411
{txt}{space 14}cdiv {c |}{col 20}{res}{space 2}-1.678242{col 32}{space 2} 1.781537{col 43}{space 1}   -0.94{col 52}{space 3}0.346{col 60}{space 4}-5.169989{col 73}{space 3} 1.813505
{txt}{space 18} {c |}
c.LogMedian#c.cdiv {c |}{col 20}{res}{space 2}  .458228{col 32}{space 2} .7348327{col 43}{space 1}    0.62{col 52}{space 3}0.533{col 60}{space 4}-.9820176{col 73}{space 3} 1.898474
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-4.559451{col 32}{space 2} .7701385{col 43}{space 1}   -5.92{col 52}{space 3}0.000{col 60}{space 4}-6.068894{col 73}{space 3}-3.050007
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod2
{txt}
{com}. firthfit
{txt}(839 missing values generated)
(839 missing values generated)
(839 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -295.061}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -276.412}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    572.824}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    633.196}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.069}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.063}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.029}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.195}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger c.enep##c.party_age norepres2 opposition office_exp alliance_exp c.LogMedian##c.cdiv 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-289.15341}
rescale:{col 16}penalized log likelihood = {res:-289.15341}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-289.15341}  
Iteration 1:{space 3}penalized log likelihood = {res:-277.08259}  
Iteration 2:{space 3}penalized log likelihood = {res: -270.0196}  
Iteration 3:{space 3}penalized log likelihood = {res:-269.77675}  
Iteration 4:{space 3}penalized log likelihood = {res:-269.77615}  
Iteration 5:{space 3}penalized log likelihood = {res:-269.77615}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,094
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     32.32
{txt}Penalized log likelihood = {res}-269.77615{txt}{col 49}Prob > chi2{col 67}= {res}    0.0004

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}enep {c |}{col 20}{res}{space 2}-.1148157{col 32}{space 2} .1148928{col 43}{space 1}   -1.00{col 52}{space 3}0.318{col 60}{space 4}-.3400015{col 73}{space 3} .1103701
{txt}{space 9}party_age {c |}{col 20}{res}{space 2}-.0430732{col 32}{space 2} .0189898{col 43}{space 1}   -2.27{col 52}{space 3}0.023{col 60}{space 4}-.0802925{col 73}{space 3} -.005854
{txt}{space 18} {c |}
c.enep#c.party_age {c |}{col 20}{res}{space 2} .0054884{col 32}{space 2} .0037587{col 43}{space 1}    1.46{col 52}{space 3}0.144{col 60}{space 4}-.0018786{col 73}{space 3} .0128553
{txt}{space 18} {c |}
{space 9}norepres2 {c |}{col 20}{res}{space 2} .1348258{col 32}{space 2} .3310452{col 43}{space 1}    0.41{col 52}{space 3}0.684{col 60}{space 4}-.5140108{col 73}{space 3} .7836624
{txt}{space 8}opposition {c |}{col 20}{res}{space 2} 1.227696{col 32}{space 2} .5308342{col 43}{space 1}    2.31{col 52}{space 3}0.021{col 60}{space 4} .1872796{col 73}{space 3} 2.268111
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2} .7408172{col 32}{space 2} .5881708{col 43}{space 1}    1.26{col 52}{space 3}0.208{col 60}{space 4}-.4119764{col 73}{space 3} 1.893611
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} 1.328116{col 32}{space 2} .3818214{col 43}{space 1}    3.48{col 52}{space 3}0.001{col 60}{space 4} .5797602{col 73}{space 3} 2.076473
{txt}{space 9}LogMedian {c |}{col 20}{res}{space 2} .0417706{col 32}{space 2} .1617875{col 43}{space 1}    0.26{col 52}{space 3}0.796{col 60}{space 4} -.275327{col 73}{space 3} .3588683
{txt}{space 14}cdiv {c |}{col 20}{res}{space 2}-1.750011{col 32}{space 2} 1.799783{col 43}{space 1}   -0.97{col 52}{space 3}0.331{col 60}{space 4}-5.277521{col 73}{space 3}   1.7775
{txt}{space 18} {c |}
c.LogMedian#c.cdiv {c |}{col 20}{res}{space 2} .5016431{col 32}{space 2} .7389609{col 43}{space 1}    0.68{col 52}{space 3}0.497{col 60}{space 4}-.9466937{col 73}{space 3}  1.94998
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-4.092663{col 32}{space 2} .8372724{col 43}{space 1}   -4.89{col 52}{space 3}0.000{col 60}{space 4}-5.733687{col 73}{space 3}-2.451639
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod3
{txt}
{com}. firthfit
{txt}(839 missing values generated)
(839 missing values generated)
(839 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -289.153}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -269.776}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    561.552}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    627.962}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.073}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.016}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.067}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.029}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.219}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.016}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(enep) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,094
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2col:39._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:64._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}63}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:68._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{space 8}149  {c |}{col 14}{res}{space 2} .6974603{col 26}{space 2} .4867366{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.2565259{col 67}{space 3} 1.651447
{txt}{space 8}150  {c |}{col 14}{res}{space 2} .7029487{col 26}{space 2} .4904377{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.2582916{col 67}{space 3} 1.664189
{txt}{space 8}151  {c |}{col 14}{res}{space 2}  .708437{col 26}{space 2} .4941397{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4} -.260059{col 67}{space 3} 1.676933
{txt}{space 8}152  {c |}{col 14}{res}{space 2} .7139254{col 26}{space 2} .4978425{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4} -.261828{col 67}{space 3} 1.689679
{txt}{space 8}153  {c |}{col 14}{res}{space 2} .7194137{col 26}{space 2} .5015462{col 37}{space 1}    1.43{col 46}{space 3}0.151{col 54}{space 4}-.2635987{col 67}{space 3} 1.702426
{txt}{space 8}154  {c |}{col 14}{res}{space 2} .7249021{col 26}{space 2} .5052506{col 37}{space 1}    1.43{col 46}{space 3}0.151{col 54}{space 4} -.265371{col 67}{space 3} 1.715175
{txt}{space 8}155  {c |}{col 14}{res}{space 2} .7303904{col 26}{space 2} .5089559{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.2671448{col 67}{space 3} 1.727926
{txt}{space 8}156  {c |}{col 14}{res}{space 2} .7358788{col 26}{space 2} .5126619{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.2689201{col 67}{space 3} 1.740678
{txt}{space 8}157  {c |}{col 14}{res}{space 2} .7413671{col 26}{space 2} .5163687{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4} -.270697{col 67}{space 3} 1.753431
{txt}{space 8}158  {c |}{col 14}{res}{space 2} .7468555{col 26}{space 2} .5200763{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.2724753{col 67}{space 3} 1.766186
{txt}{space 8}159  {c |}{col 14}{res}{space 2} .7523438{col 26}{space 2} .5237846{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4} -.274255{col 67}{space 3} 1.778943
{txt}{space 8}160  {c |}{col 14}{res}{space 2} .7578322{col 26}{space 2} .5274935{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.2760362{col 67}{space 3} 1.791701
{txt}{space 8}161  {c |}{col 14}{res}{space 2} .7633205{col 26}{space 2} .5312032{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.2778187{col 67}{space 3}  1.80446
{txt}{space 8}162  {c |}{col 14}{res}{space 2} .7688089{col 26}{space 2} .5349136{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.2796025{col 67}{space 3}  1.81722
{txt}{space 8}163  {c |}{col 14}{res}{space 2} .7742972{col 26}{space 2} .5386246{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.2813877{col 67}{space 3} 1.829982
{txt}{space 8}164  {c |}{col 14}{res}{space 2} .7797856{col 26}{space 2} .5423363{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.2831741{col 67}{space 3} 1.842745
{txt}{space 8}165  {c |}{col 14}{res}{space 2} .7852739{col 26}{space 2} .5460487{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.2849618{col 67}{space 3}  1.85551
{txt}{space 8}166  {c |}{col 14}{res}{space 2} .7907623{col 26}{space 2} .5497617{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.2867508{col 67}{space 3} 1.868275
{txt}{space 8}167  {c |}{col 14}{res}{space 2} .7962506{col 26}{space 2} .5534752{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.2885409{col 67}{space 3} 1.881042
{txt}{space 8}168  {c |}{col 14}{res}{space 2}  .801739{col 26}{space 2} .5571894{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.2903323{col 67}{space 3}  1.89381
{txt}{space 8}169  {c |}{col 14}{res}{space 2} .8072273{col 26}{space 2} .5609042{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.2921248{col 67}{space 3} 1.906579
{txt}{space 8}170  {c |}{col 14}{res}{space 2} .8127157{col 26}{space 2} .5646196{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.2939184{col 67}{space 3}  1.91935
{txt}{space 8}171  {c |}{col 14}{res}{space 2}  .818204{col 26}{space 2} .5683355{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.2957131{col 67}{space 3} 1.932121
{txt}{space 8}172  {c |}{col 14}{res}{space 2} .8236924{col 26}{space 2}  .572052{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4} -.297509{col 67}{space 3} 1.944894
{txt}{space 8}173  {c |}{col 14}{res}{space 2} .8291807{col 26}{space 2} .5757691{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.2993059{col 67}{space 3} 1.957667
{txt}{space 8}174  {c |}{col 14}{res}{space 2} .8346691{col 26}{space 2} .5794867{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.3011039{col 67}{space 3} 1.970442
{txt}{space 8}175  {c |}{col 14}{res}{space 2} .8401575{col 26}{space 2} .5832048{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.3029029{col 67}{space 3} 1.983218
{txt}{space 8}176  {c |}{col 14}{res}{space 2} .8456458{col 26}{space 2} .5869234{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.3047029{col 67}{space 3} 1.995995
{txt}{space 8}177  {c |}{col 14}{res}{space 2} .8511342{col 26}{space 2} .5906425{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4} -.306504{col 67}{space 3} 2.008772
{txt}{space 8}178  {c |}{col 14}{res}{space 2} .8566225{col 26}{space 2} .5943622{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.3083059{col 67}{space 3} 2.021551
{txt}{space 8}179  {c |}{col 14}{res}{space 2} .8621109{col 26}{space 2} .5980823{col 37}{space 1}    1.44{col 46}{space 3}0.149{col 54}{space 4}-.3101089{col 67}{space 3} 2.034331
{txt}{space 8}180  {c |}{col 14}{res}{space 2} .8675992{col 26}{space 2} .6018029{col 37}{space 1}    1.44{col 46}{space 3}0.149{col 54}{space 4}-.3119128{col 67}{space 3} 2.047111
{txt}{space 8}181  {c |}{col 14}{res}{space 2} .8730876{col 26}{space 2}  .605524{col 37}{space 1}    1.44{col 46}{space 3}0.149{col 54}{space 4}-.3137176{col 67}{space 3} 2.059893
{txt}{space 8}182  {c |}{col 14}{res}{space 2} .8785759{col 26}{space 2} .6092455{col 37}{space 1}    1.44{col 46}{space 3}0.149{col 54}{space 4}-.3155233{col 67}{space 3} 2.072675
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(839 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(3,751 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of ENEP", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. firthlogit merger c.enep##c.vote_share party_age norepres2 opposition office_exp alliance_exp  c.LogMedian##c.cdiv 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-228.43874}
rescale:{col 16}penalized log likelihood = {res:-228.43874}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-228.43874}  
Iteration 1:{space 3}penalized log likelihood = {res:-215.51733}  (not concave)
Iteration 2:{space 3}penalized log likelihood = {res:-212.72873}  
Iteration 3:{space 3}penalized log likelihood = {res:-211.76538}  
Iteration 4:{space 3}penalized log likelihood = {res:-211.70185}  
Iteration 5:{space 3}penalized log likelihood = {res:-211.70161}  
Iteration 6:{space 3}penalized log likelihood = {res:-211.70161}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,894
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     23.58
{txt}Penalized log likelihood = {res}-211.70161{txt}{col 49}Prob > chi2{col 67}= {res}    0.0146

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             merger{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}enep {c |}{col 21}{res}{space 2}-.0987841{col 33}{space 2} .1271658{col 44}{space 1}   -0.78{col 53}{space 3}0.437{col 61}{space 4}-.3480245{col 74}{space 3} .1504563
{txt}{space 9}vote_share {c |}{col 21}{res}{space 2}-.0614888{col 33}{space 2} .0536569{col 44}{space 1}   -1.15{col 53}{space 3}0.252{col 61}{space 4}-.1666545{col 74}{space 3} .0436768
{txt}{space 19} {c |}
c.enep#c.vote_share {c |}{col 21}{res}{space 2} .0066988{col 33}{space 2} .0125784{col 44}{space 1}    0.53{col 53}{space 3}0.594{col 61}{space 4}-.0179545{col 74}{space 3}  .031352
{txt}{space 19} {c |}
{space 10}party_age {c |}{col 21}{res}{space 2} -.023362{col 33}{space 2} .0074119{col 44}{space 1}   -3.15{col 53}{space 3}0.002{col 61}{space 4}-.0378892{col 74}{space 3}-.0088349
{txt}{space 10}norepres2 {c |}{col 21}{res}{space 2} .0263723{col 33}{space 2} .3696241{col 44}{space 1}    0.07{col 53}{space 3}0.943{col 61}{space 4}-.6980776{col 74}{space 3} .7508221
{txt}{space 9}opposition {c |}{col 21}{res}{space 2} .9626849{col 33}{space 2} .6120388{col 44}{space 1}    1.57{col 53}{space 3}0.116{col 61}{space 4}-.2368891{col 74}{space 3} 2.162259
{txt}{space 9}office_exp {c |}{col 21}{res}{space 2} 1.335738{col 33}{space 2} .7281386{col 44}{space 1}    1.83{col 53}{space 3}0.067{col 61}{space 4} -.091387{col 74}{space 3} 2.762864
{txt}{space 7}alliance_exp {c |}{col 21}{res}{space 2} .5936136{col 33}{space 2} .6067182{col 44}{space 1}    0.98{col 53}{space 3}0.328{col 61}{space 4}-.5955322{col 74}{space 3} 1.782759
{txt}{space 10}LogMedian {c |}{col 21}{res}{space 2} .1367994{col 33}{space 2} .1847302{col 44}{space 1}    0.74{col 53}{space 3}0.459{col 61}{space 4}-.2252651{col 74}{space 3} .4988639
{txt}{space 15}cdiv {c |}{col 21}{res}{space 2}-.6846931{col 33}{space 2} 2.088279{col 44}{space 1}   -0.33{col 53}{space 3}0.743{col 61}{space 4}-4.777645{col 74}{space 3} 3.408259
{txt}{space 19} {c |}
{space 1}c.LogMedian#c.cdiv {c |}{col 21}{res}{space 2} .1116464{col 33}{space 2} .7908273{col 44}{space 1}    0.14{col 53}{space 3}0.888{col 61}{space 4}-1.438347{col 74}{space 3} 1.661639
{txt}{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-3.992731{col 33}{space 2}  .927411{col 44}{space 1}   -4.31{col 53}{space 3}0.000{col 61}{space 4}-5.810423{col 74}{space 3}-2.175038
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod4
{txt}
{com}. firthfit
{txt}(1,039 missing values generated)
(1,039 missing values generated)
(1,039 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -228.439}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -211.702}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    447.403}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    519.048}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.079}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.010}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.073}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.021}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.279}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(enep) at(vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,894
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{col 14}{c |}{col 26} Delta-method
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{txt}{space 9}58  {c |}{col 14}{res}{space 2} .2830448{col 26}{space 2} .6478802{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.9867771{col 67}{space 3} 1.552867
{txt}{space 9}59  {c |}{col 14}{res}{space 2} .2897436{col 26}{space 2} .6603072{col 37}{space 1}    0.44{col 46}{space 3}0.661{col 54}{space 4}-1.004435{col 67}{space 3} 1.583922
{txt}{space 9}60  {c |}{col 14}{res}{space 2} .2964423{col 26}{space 2} .6727399{col 37}{space 1}    0.44{col 46}{space 3}0.659{col 54}{space 4}-1.022104{col 67}{space 3} 1.614988
{txt}{space 9}61  {c |}{col 14}{res}{space 2} .3031411{col 26}{space 2} .6851778{col 37}{space 1}    0.44{col 46}{space 3}0.658{col 54}{space 4}-1.039783{col 67}{space 3} 1.646065
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(1,039 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(3,872 missing values generated)

{com}. 
. twoway hist vote_share if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of ENEP", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. firthlogit merger c.enep##i.opposition party_age norepres2 office_exp alliance_exp  c.LogMedian##c.cdiv 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-293.27052}
rescale:{col 16}penalized log likelihood = {res:-293.27052}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-293.27052}  
Iteration 1:{space 3}penalized log likelihood = {res:-281.37992}  
Iteration 2:{space 3}penalized log likelihood = {res:-274.53741}  
Iteration 3:{space 3}penalized log likelihood = {res:-274.43521}  
Iteration 4:{space 3}penalized log likelihood = {res:-274.43498}  
Iteration 5:{space 3}penalized log likelihood = {res:-274.43498}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,094
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     32.06
{txt}Penalized log likelihood = {res}-274.43498{txt}{col 49}Prob > chi2{col 67}= {res}    0.0004

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}enep {c |}{col 20}{res}{space 2} .1305257{col 32}{space 2} .1758671{col 43}{space 1}    0.74{col 52}{space 3}0.458{col 60}{space 4}-.2141675{col 73}{space 3} .4752189
{txt}{space 18} {c |}
{space 8}opposition {c |}
{space 7}Opposition  {c |}{col 20}{res}{space 2} 2.012232{col 32}{space 2} 1.124492{col 43}{space 1}    1.79{col 52}{space 3}0.074{col 60}{space 4}-.1917315{col 73}{space 3} 4.216195
{txt}{space 18} {c |}
{space 1}opposition#c.enep {c |}
{space 7}Opposition  {c |}{col 20}{res}{space 2}-.1688917{col 32}{space 2}  .192567{col 43}{space 1}   -0.88{col 52}{space 3}0.380{col 60}{space 4}-.5463162{col 73}{space 3} .2085327
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2}-.0181522{col 32}{space 2} .0058157{col 43}{space 1}   -3.12{col 52}{space 3}0.002{col 60}{space 4}-.0295507{col 73}{space 3}-.0067537
{txt}{space 9}norepres2 {c |}{col 20}{res}{space 2} .1272002{col 32}{space 2} .3308121{col 43}{space 1}    0.38{col 52}{space 3}0.701{col 60}{space 4}-.5211796{col 73}{space 3}   .77558
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2} .7183445{col 32}{space 2}  .587757{col 43}{space 1}    1.22{col 52}{space 3}0.222{col 60}{space 4} -.433638{col 73}{space 3} 1.870327
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} 1.288039{col 32}{space 2} .3821407{col 43}{space 1}    3.37{col 52}{space 3}0.001{col 60}{space 4} .5390574{col 73}{space 3} 2.037021
{txt}{space 9}LogMedian {c |}{col 20}{res}{space 2} .0554345{col 32}{space 2} .1609016{col 43}{space 1}    0.34{col 52}{space 3}0.730{col 60}{space 4}-.2599269{col 73}{space 3} .3707959
{txt}{space 14}cdiv {c |}{col 20}{res}{space 2} -1.69126{col 32}{space 2}  1.77836{col 43}{space 1}   -0.95{col 52}{space 3}0.342{col 60}{space 4}-5.176782{col 73}{space 3} 1.794261
{txt}{space 18} {c |}
c.LogMedian#c.cdiv {c |}{col 20}{res}{space 2} .4574481{col 32}{space 2} .7338589{col 43}{space 1}    0.62{col 52}{space 3}0.533{col 60}{space 4}-.9808888{col 73}{space 3} 1.895785
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-5.248029{col 32}{space 2} 1.150054{col 43}{space 1}   -4.56{col 52}{space 3}0.000{col 60}{space 4}-7.502093{col 73}{space 3}-2.993965
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod5
{txt}
{com}. firthfit
{txt}(839 missing values generated)
(839 missing values generated)
(839 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -293.271}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -274.435}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    574.870}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    653.354}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.070}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.064}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.020}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.200}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(enep) at(opposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,094
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:enep}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}enep         {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1305257{col 26}{space 2} .1758671{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.2141675{col 67}{space 3} .4752189
{txt}{space 10}2  {c |}{col 14}{res}{space 2} -.038366{col 26}{space 2} .0929583{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4} -.220561{col 67}{space 3} .1438289
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of ENEP") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: opposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export  "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA13.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA11.csv", replace
{txt}
{com}. 
. restore
{txt}
{com}. 
. 
. **Replicate Figure A14
. 
. xtmixed nicheness_bischof c.l.pss##i.niche_party_previous_bischof vote_loss l.vote_share party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 428.14955}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 428.14955}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,595
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       199

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.0
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}12{txt}){col 67}={col 70}{res}   207.89
{txt}Log likelihood = {res} 428.14955{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  nicheness_bischof{col 37}{c |}      Coef.{col 49}   Std. Err.{col 61}      z{col 69}   P>|z|{col 77}     [95% Con{col 90}f. Interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}pss {c |}
{space 32}L1. {c |}{col 37}{res}{space 2} .0036258{col 49}{space 2} .0057466{col 60}{space 1}    0.63{col 69}{space 3}0.528{col 77}{space 4}-.0076372{col 90}{space 3} .0148889
{txt}{space 35} {c |}
{space 7}niche_party_previous_bischof {c |}
{space 28}NP t-1  {c |}{col 37}{res}{space 2} .1465314{col 49}{space 2} .0134145{col 60}{space 1}   10.92{col 69}{space 3}0.000{col 77}{space 4} .1202395{col 90}{space 3} .1728233
{txt}{space 35} {c |}
niche_party_previous_bischof#cL.pss {c |}
{space 28}NP t-1  {c |}{col 37}{res}{space 2} .0177007{col 49}{space 2} .0101448{col 60}{space 1}    1.74{col 69}{space 3}0.081{col 77}{space 4}-.0021828{col 90}{space 3} .0375842
{txt}{space 35} {c |}
{space 26}vote_loss {c |}{col 37}{res}{space 2} -.003246{col 49}{space 2} .0011271{col 60}{space 1}   -2.88{col 69}{space 3}0.004{col 77}{space 4}-.0054552{col 90}{space 3}-.0010369
{txt}{space 35} {c |}
{space 25}vote_share {c |}
{space 32}L1. {c |}{col 37}{res}{space 2}-.0019287{col 49}{space 2} .0007263{col 60}{space 1}   -2.66{col 69}{space 3}0.008{col 77}{space 4}-.0033523{col 90}{space 3}-.0005051
{txt}{space 35} {c |}
{space 26}party_age {c |}{col 37}{res}{space 2}-.0006217{col 49}{space 2} .0003014{col 60}{space 1}   -2.06{col 69}{space 3}0.039{col 77}{space 4}-.0012123{col 90}{space 3} -.000031
{txt}{space 24}lopposition {c |}{col 37}{res}{space 2} .0213707{col 49}{space 2} .0115234{col 60}{space 1}    1.85{col 69}{space 3}0.064{col 77}{space 4}-.0012147{col 90}{space 3} .0439561
{txt}{space 35} {c |}
{space 29}decade {c |}
{space 25}1960-1969  {c |}{col 37}{res}{space 2}-.0055136{col 49}{space 2} .0182407{col 60}{space 1}   -0.30{col 69}{space 3}0.762{col 77}{space 4}-.0412647{col 90}{space 3} .0302375
{txt}{space 25}1970-1979  {c |}{col 37}{res}{space 2}-.0060699{col 49}{space 2} .0182175{col 60}{space 1}   -0.33{col 69}{space 3}0.739{col 77}{space 4}-.0417757{col 90}{space 3} .0296358
{txt}{space 25}1980-1989  {c |}{col 37}{res}{space 2} -.024599{col 49}{space 2} .0191055{col 60}{space 1}   -1.29{col 69}{space 3}0.198{col 77}{space 4}-.0620451{col 90}{space 3}  .012847
{txt}{space 25}1990-1999  {c |}{col 37}{res}{space 2}-.0592376{col 49}{space 2} .0210866{col 60}{space 1}   -2.81{col 69}{space 3}0.005{col 77}{space 4}-.1005665{col 90}{space 3}-.0179087
{txt}{space 22}2000 onwards  {c |}{col 37}{res}{space 2}-.0617932{col 49}{space 2} .0222098{col 60}{space 1}   -2.78{col 69}{space 3}0.005{col 77}{space 4}-.1053236{col 90}{space 3}-.0182628
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2} .5661896{col 49}{space 2} .0230427{col 60}{space 1}   24.57{col 69}{space 3}0.000{col 77}{space 4} .5210267{col 90}{space 3} .6113526
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0163943{col 44} .0024408{col 58} .0122452{col 70} .0219493
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0283169{col 44} .0010832{col 58} .0262714{col 70} .0305216
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}294.45{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous_bischof=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,595

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0036258{col 26}{space 2} .0057466{col 37}{space 1}    0.63{col 46}{space 3}0.528{col 54}{space 4}-.0076372{col 67}{space 3} .0148889
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0213265{col 26}{space 2} .0099584{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .0018085{col 67}{space 3} .0408446
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous_bischof{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_bischof c.l.pss##i.niche_party_previous_bischof##c.party_age vote_loss l.vote_share lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 429.98936}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 429.98936}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,595
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       199

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.0
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}   212.03
{txt}Log likelihood = {res} 429.98936{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 48}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              nicheness_bischof{col 49}{c |}      Coef.{col 61}   Std. Err.{col 73}      z{col 81}   P>|z|{col 89}     [95% Con{col 102}f. Interval]
{hline 48}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 44}pss {c |}
{space 44}L1. {c |}{col 49}{res}{space 2} .0080751{col 61}{space 2} .0089813{col 72}{space 1}    0.90{col 81}{space 3}0.369{col 89}{space 4} -.009528{col 102}{space 3} .0256781
{txt}{space 47} {c |}
{space 19}niche_party_previous_bischof {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2} .1477725{col 61}{space 2} .0230774{col 72}{space 1}    6.40{col 81}{space 3}0.000{col 89}{space 4} .1025417{col 102}{space 3} .1930033
{txt}{space 47} {c |}
{space 12}niche_party_previous_bischof#cL.pss {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2}-.0074252{col 61}{space 2} .0165572{col 72}{space 1}   -0.45{col 81}{space 3}0.654{col 89}{space 4}-.0398767{col 102}{space 3} .0250263
{txt}{space 47} {c |}
{space 38}party_age {c |}{col 49}{res}{space 2}-.0005972{col 61}{space 2} .0003078{col 72}{space 1}   -1.94{col 81}{space 3}0.052{col 89}{space 4}-.0012006{col 102}{space 3} 6.11e-06
{txt}{space 47} {c |}
{space 29}cL.pss#c.party_age {c |}{col 49}{res}{space 2}-.0000922{col 61}{space 2} .0001549{col 72}{space 1}   -0.60{col 81}{space 3}0.552{col 89}{space 4}-.0003958{col 102}{space 3} .0002114
{txt}{space 47} {c |}
{space 7}niche_party_previous_bischof#c.party_age {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2}-.0000364{col 61}{space 2} .0003917{col 72}{space 1}   -0.09{col 81}{space 3}0.926{col 89}{space 4}-.0008041{col 102}{space 3} .0007313
{txt}{space 47} {c |}
niche_party_previous_bischof#cL.pss#c.party_age {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2} .0006568{col 61}{space 2} .0003426{col 72}{space 1}    1.92{col 81}{space 3}0.055{col 89}{space 4}-.0000147{col 102}{space 3} .0013284
{txt}{space 47} {c |}
{space 38}vote_loss {c |}{col 49}{res}{space 2}-.0033304{col 61}{space 2} .0011271{col 72}{space 1}   -2.95{col 81}{space 3}0.003{col 89}{space 4}-.0055396{col 102}{space 3}-.0011213
{txt}{space 47} {c |}
{space 37}vote_share {c |}
{space 44}L1. {c |}{col 49}{res}{space 2}-.0019307{col 61}{space 2} .0007272{col 72}{space 1}   -2.65{col 81}{space 3}0.008{col 89}{space 4} -.003356{col 102}{space 3}-.0005054
{txt}{space 47} {c |}
{space 36}lopposition {c |}{col 49}{res}{space 2} .0221255{col 61}{space 2}  .011517{col 72}{space 1}    1.92{col 81}{space 3}0.055{col 89}{space 4}-.0004475{col 102}{space 3} .0446984
{txt}{space 47} {c |}
{space 41}decade {c |}
{space 37}1960-1969  {c |}{col 49}{res}{space 2}-.0062547{col 61}{space 2} .0182234{col 72}{space 1}   -0.34{col 81}{space 3}0.731{col 89}{space 4} -.041972{col 102}{space 3} .0294626
{txt}{space 37}1970-1979  {c |}{col 49}{res}{space 2}-.0074621{col 61}{space 2} .0182112{col 72}{space 1}   -0.41{col 81}{space 3}0.682{col 89}{space 4}-.0431553{col 102}{space 3} .0282311
{txt}{space 37}1980-1989  {c |}{col 49}{res}{space 2}-.0253278{col 61}{space 2} .0190883{col 72}{space 1}   -1.33{col 81}{space 3}0.185{col 89}{space 4}-.0627402{col 102}{space 3} .0120845
{txt}{space 37}1990-1999  {c |}{col 49}{res}{space 2}-.0604434{col 61}{space 2} .0211201{col 72}{space 1}   -2.86{col 81}{space 3}0.004{col 89}{space 4} -.101838{col 102}{space 3}-.0190487
{txt}{space 34}2000 onwards  {c |}{col 49}{res}{space 2}-.0634505{col 61}{space 2} .0222823{col 72}{space 1}   -2.85{col 81}{space 3}0.004{col 89}{space 4} -.107123{col 102}{space 3}-.0197781
{txt}{space 47} {c |}
{space 42}_cons {c |}{col 49}{res}{space 2} .5657773{col 61}{space 2} .0234461{col 72}{space 1}   24.13{col 81}{space 3}0.000{col 89}{space 4} .5198238{col 102}{space 3} .6117309
{txt}{hline 48}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0163676{col 44}  .002475{col 58} .0121695{col 70} .0220139
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0282497{col 44} .0010833{col 58} .0262044{col 70} .0304548
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}276.00{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous_bischof=(0 1) party_age=(1 25 50 75)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,595

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0079829{col 26}{space 2} .0088628{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0093878{col 67}{space 3} .0253536
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0057706{col 26}{space 2} .0064946{col 37}{space 1}    0.89{col 46}{space 3}0.374{col 54}{space 4}-.0069586{col 67}{space 3} .0184998
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0034661{col 26}{space 2} .0058045{col 37}{space 1}    0.60{col 46}{space 3}0.550{col 54}{space 4}-.0079106{col 67}{space 3} .0148427
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0011616{col 26}{space 2} .0074297{col 37}{space 1}    0.16{col 46}{space 3}0.876{col 54}{space 4}-.0134004{col 67}{space 3} .0157236
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0012145{col 26}{space 2}  .015718{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.0295922{col 67}{space 3} .0320212
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0147659{col 26}{space 2} .0107585{col 37}{space 1}    1.37{col 46}{space 3}0.170{col 54}{space 4}-.0063204{col 67}{space 3} .0358521
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0288819{col 26}{space 2} .0108527{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0076111{col 67}{space 3} .0501527
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0429979{col 26}{space 2} .0161699{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0113055{col 67}{space 3} .0746903
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Age=1" 6 "Age=25" 7 "Age=50" 8 "Age=75")) ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous_bischof party_age{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_bischof c.l.pss##i.niche_party_previous_bischof##c.leaderdom vote_loss l.vote_share party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:  354.2031}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:  354.2031}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,165
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       104

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      11.2
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}16{txt}){col 67}={col 70}{res}   217.98
{txt}Log likelihood = {res}  354.2031{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 48}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              nicheness_bischof{col 49}{c |}      Coef.{col 61}   Std. Err.{col 73}      z{col 81}   P>|z|{col 89}     [95% Con{col 102}f. Interval]
{hline 48}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 44}pss {c |}
{space 44}L1. {c |}{col 49}{res}{space 2} .0217435{col 61}{space 2} .0205481{col 72}{space 1}    1.06{col 81}{space 3}0.290{col 89}{space 4}-.0185301{col 102}{space 3} .0620171
{txt}{space 47} {c |}
{space 19}niche_party_previous_bischof {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2} .2005708{col 61}{space 2} .0635972{col 72}{space 1}    3.15{col 81}{space 3}0.002{col 89}{space 4} .0759226{col 102}{space 3} .3252189
{txt}{space 47} {c |}
{space 12}niche_party_previous_bischof#cL.pss {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2} .0043944{col 61}{space 2} .0323792{col 72}{space 1}    0.14{col 81}{space 3}0.892{col 89}{space 4}-.0590677{col 102}{space 3} .0678565
{txt}{space 47} {c |}
{space 38}leaderdom {c |}{col 49}{res}{space 2}-.0027599{col 61}{space 2}  .002305{col 72}{space 1}   -1.20{col 81}{space 3}0.231{col 89}{space 4}-.0072776{col 102}{space 3} .0017579
{txt}{space 47} {c |}
{space 29}cL.pss#c.leaderdom {c |}{col 49}{res}{space 2}-.0004298{col 61}{space 2} .0010296{col 72}{space 1}   -0.42{col 81}{space 3}0.676{col 89}{space 4}-.0024477{col 102}{space 3} .0015882
{txt}{space 47} {c |}
{space 7}niche_party_previous_bischof#c.leaderdom {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2}-.0012001{col 61}{space 2} .0034089{col 72}{space 1}   -0.35{col 81}{space 3}0.725{col 89}{space 4}-.0078815{col 102}{space 3} .0054813
{txt}{space 47} {c |}
niche_party_previous_bischof#cL.pss#c.leaderdom {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2} .0003552{col 61}{space 2} .0016777{col 72}{space 1}    0.21{col 81}{space 3}0.832{col 89}{space 4} -.002933{col 102}{space 3} .0036434
{txt}{space 47} {c |}
{space 38}vote_loss {c |}{col 49}{res}{space 2}-.0037962{col 61}{space 2} .0012342{col 72}{space 1}   -3.08{col 81}{space 3}0.002{col 89}{space 4}-.0062152{col 102}{space 3}-.0013772
{txt}{space 47} {c |}
{space 37}vote_share {c |}
{space 44}L1. {c |}{col 49}{res}{space 2}-.0015667{col 61}{space 2} .0007576{col 72}{space 1}   -2.07{col 81}{space 3}0.039{col 89}{space 4}-.0030516{col 102}{space 3}-.0000818
{txt}{space 47} {c |}
{space 38}party_age {c |}{col 49}{res}{space 2} .0003141{col 61}{space 2} .0003205{col 72}{space 1}    0.98{col 81}{space 3}0.327{col 89}{space 4} -.000314{col 102}{space 3} .0009422
{txt}{space 36}lopposition {c |}{col 49}{res}{space 2} .0187888{col 61}{space 2} .0121219{col 72}{space 1}    1.55{col 81}{space 3}0.121{col 89}{space 4}-.0049697{col 102}{space 3} .0425472
{txt}{space 47} {c |}
{space 41}decade {c |}
{space 37}1960-1969  {c |}{col 49}{res}{space 2}-.0297218{col 61}{space 2}  .021264{col 72}{space 1}   -1.40{col 81}{space 3}0.162{col 89}{space 4}-.0713985{col 102}{space 3} .0119549
{txt}{space 37}1970-1979  {c |}{col 49}{res}{space 2}-.0318063{col 61}{space 2} .0206759{col 72}{space 1}   -1.54{col 81}{space 3}0.124{col 89}{space 4}-.0723304{col 102}{space 3} .0087178
{txt}{space 37}1980-1989  {c |}{col 49}{res}{space 2}-.0802189{col 61}{space 2} .0213109{col 72}{space 1}   -3.76{col 81}{space 3}0.000{col 89}{space 4}-.1219875{col 102}{space 3}-.0384503
{txt}{space 37}1990-1999  {c |}{col 49}{res}{space 2} -.106879{col 61}{space 2} .0234701{col 72}{space 1}   -4.55{col 81}{space 3}0.000{col 89}{space 4}-.1528796{col 102}{space 3}-.0608784
{txt}{space 34}2000 onwards  {c |}{col 49}{res}{space 2}-.1300231{col 61}{space 2} .0253574{col 72}{space 1}   -5.13{col 81}{space 3}0.000{col 89}{space 4}-.1797227{col 102}{space 3}-.0803235
{txt}{space 47} {c |}
{space 42}_cons {c |}{col 49}{res}{space 2} .5876611{col 61}{space 2} .0469474{col 72}{space 1}   12.52{col 81}{space 3}0.000{col 89}{space 4}  .495646{col 102}{space 3} .6796762
{txt}{hline 48}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0088141{col 44} .0017382{col 58} .0059885{col 70} .0129729
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0281185{col 44} .0012239{col 58} .0258192{col 70} .0306226
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}134.83{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous_bischof=(0 1) leaderdom=(0 10 20 30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,165

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0217435{col 26}{space 2} .0205481{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.0185301{col 67}{space 3} .0620171
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0174458{col 26}{space 2} .0112669{col 37}{space 1}    1.55{col 46}{space 3}0.122{col 54}{space 4}-.0046369{col 67}{space 3} .0395284
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .013148{col 26}{space 2} .0066082{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0001963{col 67}{space 3} .0260997
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0088503{col 26}{space 2} .0131302{col 37}{space 1}    0.67{col 46}{space 3}0.500{col 54}{space 4}-.0168845{col 67}{space 3}  .034585
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0261379{col 26}{space 2} .0304075{col 37}{space 1}    0.86{col 46}{space 3}0.390{col 54}{space 4}-.0334597{col 67}{space 3} .0857355
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0253919{col 26}{space 2} .0166771{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.0072946{col 67}{space 3} .0580784
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0246459{col 26}{space 2} .0115737{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0019618{col 67}{space 3}   .04733
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0238999{col 26}{space 2} .0221832{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.0195783{col 67}{space 3} .0673782
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Lead. dom.=0" 6 "Lead. dom.=10" 7 "Lead. dom.=20" 8 "Lead. dom.=30")) ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous_bischof leaderdom{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_bischof c.l.pss##i.niche_party_previous_bischof##c.l.vote_share vote_loss party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 430.17213}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 430.17213}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,595
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       199

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.0
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}   211.57
{txt}Log likelihood = {res} 430.17213{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 50}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                nicheness_bischof{col 51}{c |}      Coef.{col 63}   Std. Err.{col 75}      z{col 83}   P>|z|{col 91}     [95% Con{col 104}f. Interval]
{hline 50}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 46}pss {c |}
{space 46}L1. {c |}{col 51}{res}{space 2} .0122926{col 63}{space 2}  .008368{col 74}{space 1}    1.47{col 83}{space 3}0.142{col 91}{space 4}-.0041083{col 104}{space 3} .0286935
{txt}{space 49} {c |}
{space 21}niche_party_previous_bischof {c |}
{space 42}NP t-1  {c |}{col 51}{res}{space 2} .1433447{col 63}{space 2} .0201981{col 74}{space 1}    7.10{col 83}{space 3}0.000{col 91}{space 4} .1037572{col 104}{space 3} .1829322
{txt}{space 49} {c |}
{space 14}niche_party_previous_bischof#cL.pss {c |}
{space 42}NP t-1  {c |}{col 51}{res}{space 2}  .026166{col 63}{space 2} .0152045{col 74}{space 1}    1.72{col 83}{space 3}0.085{col 91}{space 4}-.0036343{col 104}{space 3} .0559662
{txt}{space 49} {c |}
{space 39}vote_share {c |}
{space 46}L1. {c |}{col 51}{res}{space 2}-.0023018{col 63}{space 2} .0007751{col 74}{space 1}   -2.97{col 83}{space 3}0.003{col 91}{space 4}-.0038209{col 104}{space 3}-.0007826
{txt}{space 49} {c |}
{space 29}cL.pss#cL.vote_share {c |}{col 51}{res}{space 2}-.0006453{col 63}{space 2} .0004305{col 74}{space 1}   -1.50{col 83}{space 3}0.134{col 91}{space 4} -.001489{col 104}{space 3} .0001984
{txt}{space 49} {c |}
{space 7}niche_party_previous_bischof#cL.vote_share {c |}
{space 42}NP t-1  {c |}{col 51}{res}{space 2}-.0000559{col 63}{space 2} .0010095{col 74}{space 1}   -0.06{col 83}{space 3}0.956{col 91}{space 4}-.0020344{col 104}{space 3} .0019226
{txt}{space 49} {c |}
niche_party_previous_bischof#cL.pss#cL.vote_share {c |}
{space 42}NP t-1  {c |}{col 51}{res}{space 2}-.0008198{col 63}{space 2} .0010292{col 74}{space 1}   -0.80{col 83}{space 3}0.426{col 91}{space 4} -.002837{col 104}{space 3} .0011975
{txt}{space 49} {c |}
{space 40}vote_loss {c |}{col 51}{res}{space 2}-.0031648{col 63}{space 2} .0011285{col 74}{space 1}   -2.80{col 83}{space 3}0.005{col 91}{space 4}-.0053765{col 104}{space 3}-.0009531
{txt}{space 40}party_age {c |}{col 51}{res}{space 2}-.0005906{col 63}{space 2} .0003043{col 74}{space 1}   -1.94{col 83}{space 3}0.052{col 91}{space 4} -.001187{col 104}{space 3} 5.76e-06
{txt}{space 38}lopposition {c |}{col 51}{res}{space 2} .0196997{col 63}{space 2} .0115454{col 74}{space 1}    1.71{col 83}{space 3}0.088{col 91}{space 4}-.0029289{col 104}{space 3} .0423282
{txt}{space 49} {c |}
{space 43}decade {c |}
{space 39}1960-1969  {c |}{col 51}{res}{space 2}-.0056638{col 63}{space 2} .0182044{col 74}{space 1}   -0.31{col 83}{space 3}0.756{col 91}{space 4}-.0413437{col 104}{space 3} .0300161
{txt}{space 39}1970-1979  {c |}{col 51}{res}{space 2} -.006264{col 63}{space 2} .0181984{col 74}{space 1}   -0.34{col 83}{space 3}0.731{col 91}{space 4}-.0419321{col 104}{space 3} .0294042
{txt}{space 39}1980-1989  {c |}{col 51}{res}{space 2}-.0258162{col 63}{space 2} .0191244{col 74}{space 1}   -1.35{col 83}{space 3}0.177{col 91}{space 4}-.0632993{col 104}{space 3} .0116669
{txt}{space 39}1990-1999  {c |}{col 51}{res}{space 2}-.0601037{col 63}{space 2} .0211306{col 74}{space 1}   -2.84{col 83}{space 3}0.004{col 91}{space 4} -.101519{col 104}{space 3}-.0186884
{txt}{space 36}2000 onwards  {c |}{col 51}{res}{space 2}-.0611861{col 63}{space 2} .0222957{col 74}{space 1}   -2.74{col 83}{space 3}0.006{col 91}{space 4}-.1048849{col 104}{space 3}-.0174874
{txt}{space 49} {c |}
{space 44}_cons {c |}{col 51}{res}{space 2}  .569888{col 63}{space 2} .0234587{col 74}{space 1}   24.29{col 83}{space 3}0.000{col 91}{space 4} .5239099{col 104}{space 3} .6158661
{txt}{hline 50}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  .016764{col 44} .0024967{col 58}   .01252{col 70} .0224466
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0281748{col 44} .0010789{col 58} .0261376{col 70} .0303708
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}295.53{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous_bischof=(0 1) L.vote_share=(0 10 30 50)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,595

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0122926{col 26}{space 2}  .008368{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.0041083{col 67}{space 3} .0286935
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0058393{col 26}{space 2} .0060309{col 37}{space 1}    0.97{col 46}{space 3}0.333{col 54}{space 4} -.005981{col 67}{space 3} .0176596
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0070672{col 26}{space 2} .0089583{col 37}{space 1}   -0.79{col 46}{space 3}0.430{col 54}{space 4} -.024625{col 67}{space 3} .0104907
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0199737{col 26}{space 2} .0165037{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-.0523203{col 67}{space 3}  .012373
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0384585{col 26}{space 2}  .014554{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .0099332{col 67}{space 3} .0669839
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0238076{col 26}{space 2} .0101897{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .0038362{col 67}{space 3} .0437791
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0054941{col 26}{space 2} .0220712{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-.0487529{col 67}{space 3} .0377646
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0347959{col 26}{space 2} .0408594{col 37}{space 1}   -0.85{col 46}{space 3}0.394{col 54}{space 4}-.1148789{col 67}{space 3} .0452871
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Size t-1=0" 6 "Size t-1=10" 7 "Size t-1=30" 8 "Size t-1=50")) ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous_bischof L.vote_share{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_bischof c.l.pss##i.niche_party_previous_bischof##i.lopposition vote_loss party_age l.vote_share i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 436.16812}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 436.16812}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,595
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       199

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.0
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}   225.08
{txt}Log likelihood = {res} 436.16812{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 48}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              nicheness_bischof{col 49}{c |}      Coef.{col 61}   Std. Err.{col 73}      z{col 81}   P>|z|{col 89}     [95% Con{col 102}f. Interval]
{hline 48}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 44}pss {c |}
{space 44}L1. {c |}{col 49}{res}{space 2}-.0054823{col 61}{space 2} .0075542{col 72}{space 1}   -0.73{col 81}{space 3}0.468{col 89}{space 4}-.0202883{col 102}{space 3} .0093237
{txt}{space 47} {c |}
{space 19}niche_party_previous_bischof {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2} .1756694{col 61}{space 2} .0229418{col 72}{space 1}    7.66{col 81}{space 3}0.000{col 89}{space 4} .1307043{col 102}{space 3} .2206344
{txt}{space 47} {c |}
{space 12}niche_party_previous_bischof#cL.pss {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2}-.0222825{col 61}{space 2} .0175069{col 72}{space 1}   -1.27{col 81}{space 3}0.203{col 89}{space 4}-.0565954{col 102}{space 3} .0120304
{txt}{space 47} {c |}
{space 36}lopposition {c |}
{space 32}Opposition t-1  {c |}{col 49}{res}{space 2} .0201983{col 61}{space 2}  .012299{col 72}{space 1}    1.64{col 81}{space 3}0.101{col 89}{space 4}-.0039074{col 102}{space 3}  .044304
{txt}{space 47} {c |}
{space 29}lopposition#cL.pss {c |}
{space 32}Opposition t-1  {c |}{col 49}{res}{space 2} .0143587{col 61}{space 2} .0083672{col 72}{space 1}    1.72{col 81}{space 3}0.086{col 89}{space 4}-.0020407{col 102}{space 3} .0307581
{txt}{space 47} {c |}
{space 7}niche_party_previous_bischof#lopposition {c |}
{space 25}NP t-1#Opposition t-1  {c |}{col 49}{res}{space 2}-.0392943{col 61}{space 2} .0272675{col 72}{space 1}   -1.44{col 81}{space 3}0.150{col 89}{space 4}-.0927375{col 102}{space 3}  .014149
{txt}{space 47} {c |}
niche_party_previous_bischof#lopposition#cL.pss {c |}
{space 25}NP t-1#Opposition t-1  {c |}{col 49}{res}{space 2} .0555098{col 61}{space 2} .0210231{col 72}{space 1}    2.64{col 81}{space 3}0.008{col 89}{space 4} .0143054{col 102}{space 3} .0967143
{txt}{space 47} {c |}
{space 38}vote_loss {c |}{col 49}{res}{space 2}-.0031275{col 61}{space 2} .0011219{col 72}{space 1}   -2.79{col 81}{space 3}0.005{col 89}{space 4}-.0053264{col 102}{space 3}-.0009285
{txt}{space 38}party_age {c |}{col 49}{res}{space 2}-.0006152{col 61}{space 2} .0003027{col 72}{space 1}   -2.03{col 81}{space 3}0.042{col 89}{space 4}-.0012085{col 102}{space 3}-.0000219
{txt}{space 47} {c |}
{space 37}vote_share {c |}
{space 44}L1. {c |}{col 49}{res}{space 2}-.0021749{col 61}{space 2} .0007323{col 72}{space 1}   -2.97{col 81}{space 3}0.003{col 89}{space 4}  -.00361{col 102}{space 3}-.0007397
{txt}{space 47} {c |}
{space 41}decade {c |}
{space 37}1960-1969  {c |}{col 49}{res}{space 2}-.0045569{col 61}{space 2} .0181437{col 72}{space 1}   -0.25{col 81}{space 3}0.802{col 89}{space 4} -.040118{col 102}{space 3} .0310041
{txt}{space 37}1970-1979  {c |}{col 49}{res}{space 2}-.0045118{col 61}{space 2}  .018163{col 72}{space 1}   -0.25{col 81}{space 3}0.804{col 89}{space 4}-.0401107{col 102}{space 3} .0310871
{txt}{space 37}1980-1989  {c |}{col 49}{res}{space 2}-.0240812{col 61}{space 2}  .019063{col 72}{space 1}   -1.26{col 81}{space 3}0.207{col 89}{space 4} -.061444{col 102}{space 3} .0132817
{txt}{space 37}1990-1999  {c |}{col 49}{res}{space 2}-.0566079{col 61}{space 2} .0210501{col 72}{space 1}   -2.69{col 81}{space 3}0.007{col 89}{space 4}-.0978653{col 102}{space 3}-.0153505
{txt}{space 34}2000 onwards  {c |}{col 49}{res}{space 2}-.0583536{col 61}{space 2} .0222137{col 72}{space 1}   -2.63{col 81}{space 3}0.009{col 89}{space 4}-.1018917{col 102}{space 3}-.0148154
{txt}{space 47} {c |}
{space 42}_cons {c |}{col 49}{res}{space 2} .5692098{col 61}{space 2} .0232807{col 72}{space 1}   24.45{col 81}{space 3}0.000{col 89}{space 4} .5235804{col 102}{space 3} .6148391
{txt}{hline 48}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0166978{col 44}   .00247{col 58} .0124953{col 70} .0223138
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0279537{col 44} .0010695{col 58} .0259342{col 70} .0301305
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}301.41{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous_bischof=(0 1) lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,595

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous_bischof}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0054823{col 26}{space 2} .0075542{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4}-.0202883{col 67}{space 3} .0093237
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0088764{col 26}{space 2} .0066913{col 37}{space 1}    1.33{col 46}{space 3}0.185{col 54}{space 4}-.0042383{col 67}{space 3}  .021991
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0277648{col 26}{space 2} .0170005{col 37}{space 1}   -1.63{col 46}{space 3}0.102{col 54}{space 4}-.0610851{col 67}{space 3} .0055555
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0421037{col 26}{space 2} .0115554{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .0194556{col 67}{space 3} .0647518
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13)) ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(3 "Government t-1" 4 "Opposition t-1")) ///
> graphregion(fcolor(white)) name(e, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous_bischof lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d e, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA14.wmf", replace
{txt}
{com}. 
. 
. **Replicate Figure A15
. 
. xtmixed nicheness_meymil c.l.pss##i.niche_party_previous_meymill vote_loss l.vote_share party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:   2973.83}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:   2973.83}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}12{txt}){col 67}={col 70}{res}    66.00
{txt}Log likelihood = {res}   2973.83{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                   nicheness_meymil{col 37}{c |}      Coef.{col 49}   Std. Err.{col 61}      z{col 69}   P>|z|{col 77}     [95% Con{col 90}f. Interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}pss {c |}
{space 32}L1. {c |}{col 37}{res}{space 2}-.0018137{col 49}{space 2} .0012076{col 60}{space 1}   -1.50{col 69}{space 3}0.133{col 77}{space 4}-.0041806{col 90}{space 3} .0005531
{txt}{space 35} {c |}
{space 7}niche_party_previous_meymill {c |}
{space 28}NP t-1  {c |}{col 37}{res}{space 2} .0045506{col 49}{space 2} .0027462{col 60}{space 1}    1.66{col 69}{space 3}0.098{col 77}{space 4}-.0008319{col 90}{space 3}  .009933
{txt}{space 35} {c |}
niche_party_previous_meymill#cL.pss {c |}
{space 28}NP t-1  {c |}{col 37}{res}{space 2} .0016572{col 49}{space 2} .0020179{col 60}{space 1}    0.82{col 69}{space 3}0.412{col 77}{space 4}-.0022978{col 90}{space 3} .0056123
{txt}{space 35} {c |}
{space 26}vote_loss {c |}{col 37}{res}{space 2} -.000338{col 49}{space 2} .0002314{col 60}{space 1}   -1.46{col 69}{space 3}0.144{col 77}{space 4}-.0007915{col 90}{space 3} .0001155
{txt}{space 35} {c |}
{space 25}vote_share {c |}
{space 32}L1. {c |}{col 37}{res}{space 2}-.0005165{col 49}{space 2} .0001603{col 60}{space 1}   -3.22{col 69}{space 3}0.001{col 77}{space 4}-.0008307{col 90}{space 3}-.0002022
{txt}{space 35} {c |}
{space 26}party_age {c |}{col 37}{res}{space 2}-.0001267{col 49}{space 2} .0000677{col 60}{space 1}   -1.87{col 69}{space 3}0.061{col 77}{space 4}-.0002593{col 90}{space 3} 5.90e-06
{txt}{space 24}lopposition {c |}{col 37}{res}{space 2}-.0005743{col 49}{space 2} .0023822{col 60}{space 1}   -0.24{col 69}{space 3}0.809{col 77}{space 4}-.0052433{col 90}{space 3} .0040947
{txt}{space 35} {c |}
{space 29}decade {c |}
{space 25}1960-1969  {c |}{col 37}{res}{space 2}-.0013827{col 49}{space 2} .0037736{col 60}{space 1}   -0.37{col 69}{space 3}0.714{col 77}{space 4}-.0087788{col 90}{space 3} .0060135
{txt}{space 25}1970-1979  {c |}{col 37}{res}{space 2}-.0100822{col 49}{space 2} .0038018{col 60}{space 1}   -2.65{col 69}{space 3}0.008{col 77}{space 4}-.0175336{col 90}{space 3}-.0026308
{txt}{space 25}1980-1989  {c |}{col 37}{res}{space 2}-.0098539{col 49}{space 2} .0040321{col 60}{space 1}   -2.44{col 69}{space 3}0.015{col 77}{space 4}-.0177568{col 90}{space 3}-.0019511
{txt}{space 25}1990-1999  {c |}{col 37}{res}{space 2}-.0130075{col 49}{space 2} .0044967{col 60}{space 1}   -2.89{col 69}{space 3}0.004{col 77}{space 4}-.0218208{col 90}{space 3}-.0041941
{txt}{space 22}2000 onwards  {c |}{col 37}{res}{space 2}-.0124057{col 49}{space 2} .0047963{col 60}{space 1}   -2.59{col 69}{space 3}0.010{col 77}{space 4}-.0218063{col 90}{space 3}-.0030052
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2} .0899986{col 49}{space 2} .0050042{col 60}{space 1}   17.98{col 69}{space 3}0.000{col 77}{space 4} .0801905{col 90}{space 3} .0998066
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0009119{col 44} .0001325{col 58} .0006859{col 70} .0012123
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0012026{col 44} .0000459{col 58} .0011159{col 70}  .001296
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}269.30{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous_meymill=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0018137{col 26}{space 2} .0012076{col 37}{space 1}   -1.50{col 46}{space 3}0.133{col 54}{space 4}-.0041806{col 67}{space 3} .0005531
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0001565{col 26}{space 2} .0019864{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.0040498{col 67}{space 3} .0037368
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous_meymill{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_meymil c.l.pss##i.niche_party_previous_meymill##c.party_age vote_loss l.vote_share lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 2984.8191}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 2984.8191}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    89.36
{txt}Log likelihood = {res} 2984.8191{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 48}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                               nicheness_meymil{col 49}{c |}      Coef.{col 61}   Std. Err.{col 73}      z{col 81}   P>|z|{col 89}     [95% Con{col 102}f. Interval]
{hline 48}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 44}pss {c |}
{space 44}L1. {c |}{col 49}{res}{space 2}-.0060144{col 61}{space 2} .0019142{col 72}{space 1}   -3.14{col 81}{space 3}0.002{col 89}{space 4}-.0097661{col 102}{space 3}-.0022626
{txt}{space 47} {c |}
{space 19}niche_party_previous_meymill {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2} .0170243{col 61}{space 2} .0046103{col 72}{space 1}    3.69{col 81}{space 3}0.000{col 89}{space 4} .0079884{col 102}{space 3} .0260602
{txt}{space 47} {c |}
{space 12}niche_party_previous_meymill#cL.pss {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2} .0028196{col 61}{space 2} .0032516{col 72}{space 1}    0.87{col 81}{space 3}0.386{col 89}{space 4}-.0035534{col 102}{space 3} .0091925
{txt}{space 47} {c |}
{space 38}party_age {c |}{col 49}{res}{space 2}-.0001012{col 61}{space 2} .0000683{col 72}{space 1}   -1.48{col 81}{space 3}0.138{col 89}{space 4} -.000235{col 102}{space 3} .0000326
{txt}{space 47} {c |}
{space 29}cL.pss#c.party_age {c |}{col 49}{res}{space 2} .0000958{col 61}{space 2} .0000324{col 72}{space 1}    2.96{col 81}{space 3}0.003{col 89}{space 4} .0000324{col 102}{space 3} .0001592
{txt}{space 47} {c |}
{space 7}niche_party_previous_meymill#c.party_age {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2}-.0002818{col 61}{space 2} .0000824{col 72}{space 1}   -3.42{col 81}{space 3}0.001{col 89}{space 4}-.0004433{col 102}{space 3}-.0001204
{txt}{space 47} {c |}
niche_party_previous_meymill#cL.pss#c.party_age {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2}-.0000202{col 61}{space 2} .0000761{col 72}{space 1}   -0.27{col 81}{space 3}0.790{col 89}{space 4}-.0001695{col 102}{space 3}  .000129
{txt}{space 47} {c |}
{space 38}vote_loss {c |}{col 49}{res}{space 2}-.0003175{col 61}{space 2} .0002302{col 72}{space 1}   -1.38{col 81}{space 3}0.168{col 89}{space 4}-.0007686{col 102}{space 3} .0001336
{txt}{space 47} {c |}
{space 37}vote_share {c |}
{space 44}L1. {c |}{col 49}{res}{space 2}-.0004978{col 61}{space 2} .0001588{col 72}{space 1}   -3.14{col 81}{space 3}0.002{col 89}{space 4} -.000809{col 102}{space 3}-.0001866
{txt}{space 47} {c |}
{space 36}lopposition {c |}{col 49}{res}{space 2}-.0007951{col 61}{space 2} .0023672{col 72}{space 1}   -0.34{col 81}{space 3}0.737{col 89}{space 4}-.0054348{col 102}{space 3} .0038446
{txt}{space 47} {c |}
{space 41}decade {c |}
{space 37}1960-1969  {c |}{col 49}{res}{space 2}-.0014787{col 61}{space 2} .0037513{col 72}{space 1}   -0.39{col 81}{space 3}0.693{col 89}{space 4}-.0088312{col 102}{space 3} .0058738
{txt}{space 37}1970-1979  {c |}{col 49}{res}{space 2}-.0101902{col 61}{space 2} .0037767{col 72}{space 1}   -2.70{col 81}{space 3}0.007{col 89}{space 4}-.0175925{col 102}{space 3} -.002788
{txt}{space 37}1980-1989  {c |}{col 49}{res}{space 2}-.0098413{col 61}{space 2} .0040014{col 72}{space 1}   -2.46{col 81}{space 3}0.014{col 89}{space 4}-.0176839{col 102}{space 3}-.0019987
{txt}{space 37}1990-1999  {c |}{col 49}{res}{space 2}-.0143449{col 61}{space 2} .0044679{col 72}{space 1}   -3.21{col 81}{space 3}0.001{col 89}{space 4}-.0231019{col 102}{space 3} -.005588
{txt}{space 34}2000 onwards  {c |}{col 49}{res}{space 2}-.0138553{col 61}{space 2} .0047632{col 72}{space 1}   -2.91{col 81}{space 3}0.004{col 89}{space 4}-.0231911{col 102}{space 3}-.0045196
{txt}{space 47} {c |}
{space 42}_cons {c |}{col 49}{res}{space 2} .0891307{col 61}{space 2} .0050361{col 72}{space 1}   17.70{col 81}{space 3}0.000{col 89}{space 4} .0792602{col 102}{space 3} .0990012
{txt}{hline 48}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0008841{col 44} .0001303{col 58} .0006623{col 70} .0011802
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0011886{col 44} .0000454{col 58} .0011028{col 70} .0012811
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}259.04{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous_meymill=(0 1) party_age=(1 25 50 75)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0059185{col 26}{space 2} .0018891{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-.0096211{col 67}{space 3} -.002216
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0036189{col 26}{space 2} .0013804{col 37}{space 1}   -2.62{col 46}{space 3}0.009{col 54}{space 4}-.0063244{col 67}{space 3}-.0009133
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0012234{col 26}{space 2} .0012064{col 37}{space 1}   -1.01{col 46}{space 3}0.311{col 54}{space 4}-.0035878{col 67}{space 3} .0011411
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0011722{col 26}{space 2} .0015211{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.0018092{col 67}{space 3} .0041535
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0031192{col 26}{space 2} .0030563{col 37}{space 1}   -1.02{col 46}{space 3}0.307{col 54}{space 4}-.0091094{col 67}{space 3}  .002871
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0013053{col 26}{space 2} .0020542{col 37}{space 1}   -0.64{col 46}{space 3}0.525{col 54}{space 4}-.0053314{col 67}{space 3} .0027209
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0005843{col 26}{space 2} .0023714{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4}-.0040636{col 67}{space 3} .0052322
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0024738{col 26}{space 2} .0037287{col 37}{space 1}    0.66{col 46}{space 3}0.507{col 54}{space 4}-.0048343{col 67}{space 3}  .009782
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Age=1" 6 "Age=25" 7 "Age=50" 8 "Age=75")) ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous_meymill party_age{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_meymil c.l.pss##i.niche_party_previous_meymill##c.leaderdom vote_loss l.vote_share party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 2239.5343}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 2239.5343}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,178
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       104

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      11.3
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}16{txt}){col 67}={col 70}{res}    65.77
{txt}Log likelihood = {res} 2239.5343{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 48}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                               nicheness_meymil{col 49}{c |}      Coef.{col 61}   Std. Err.{col 73}      z{col 81}   P>|z|{col 89}     [95% Con{col 102}f. Interval]
{hline 48}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 44}pss {c |}
{space 44}L1. {c |}{col 49}{res}{space 2} .0050821{col 61}{space 2} .0040162{col 72}{space 1}    1.27{col 81}{space 3}0.206{col 89}{space 4}-.0027895{col 102}{space 3} .0129538
{txt}{space 47} {c |}
{space 19}niche_party_previous_meymill {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2} .0108889{col 61}{space 2} .0124355{col 72}{space 1}    0.88{col 81}{space 3}0.381{col 89}{space 4}-.0134843{col 102}{space 3}  .035262
{txt}{space 47} {c |}
{space 12}niche_party_previous_meymill#cL.pss {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2}-.0073889{col 61}{space 2} .0066572{col 72}{space 1}   -1.11{col 81}{space 3}0.267{col 89}{space 4}-.0204368{col 102}{space 3}  .005659
{txt}{space 47} {c |}
{space 38}leaderdom {c |}{col 49}{res}{space 2}  .000672{col 61}{space 2} .0004672{col 72}{space 1}    1.44{col 81}{space 3}0.150{col 89}{space 4}-.0002437{col 102}{space 3} .0015877
{txt}{space 47} {c |}
{space 29}cL.pss#c.leaderdom {c |}{col 49}{res}{space 2} -.000374{col 61}{space 2} .0002026{col 72}{space 1}   -1.85{col 81}{space 3}0.065{col 89}{space 4}-.0007711{col 102}{space 3} .0000231
{txt}{space 47} {c |}
{space 7}niche_party_previous_meymill#c.leaderdom {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2}-.0004463{col 61}{space 2} .0006752{col 72}{space 1}   -0.66{col 81}{space 3}0.509{col 89}{space 4}-.0017698{col 102}{space 3} .0008771
{txt}{space 47} {c |}
niche_party_previous_meymill#cL.pss#c.leaderdom {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2} .0005293{col 61}{space 2} .0003389{col 72}{space 1}    1.56{col 81}{space 3}0.118{col 89}{space 4}-.0001348{col 102}{space 3} .0011935
{txt}{space 47} {c |}
{space 38}vote_loss {c |}{col 49}{res}{space 2}-.0003272{col 61}{space 2} .0002482{col 72}{space 1}   -1.32{col 81}{space 3}0.187{col 89}{space 4}-.0008137{col 102}{space 3} .0001592
{txt}{space 47} {c |}
{space 37}vote_share {c |}
{space 44}L1. {c |}{col 49}{res}{space 2}-.0005851{col 61}{space 2} .0001539{col 72}{space 1}   -3.80{col 81}{space 3}0.000{col 89}{space 4}-.0008868{col 102}{space 3}-.0002834
{txt}{space 47} {c |}
{space 38}party_age {c |}{col 49}{res}{space 2}-.0000463{col 61}{space 2} .0000639{col 72}{space 1}   -0.73{col 81}{space 3}0.468{col 89}{space 4}-.0001715{col 102}{space 3} .0000789
{txt}{space 36}lopposition {c |}{col 49}{res}{space 2}  .000473{col 61}{space 2} .0024469{col 72}{space 1}    0.19{col 81}{space 3}0.847{col 89}{space 4}-.0043229{col 102}{space 3}  .005269
{txt}{space 47} {c |}
{space 41}decade {c |}
{space 37}1960-1969  {c |}{col 49}{res}{space 2} -.001228{col 61}{space 2} .0043098{col 72}{space 1}   -0.28{col 81}{space 3}0.776{col 89}{space 4} -.009675{col 102}{space 3} .0072191
{txt}{space 37}1970-1979  {c |}{col 49}{res}{space 2}-.0131041{col 61}{space 2} .0041864{col 72}{space 1}   -3.13{col 81}{space 3}0.002{col 89}{space 4}-.0213092{col 102}{space 3}-.0048989
{txt}{space 37}1980-1989  {c |}{col 49}{res}{space 2} -.011569{col 61}{space 2} .0043072{col 72}{space 1}   -2.69{col 81}{space 3}0.007{col 89}{space 4}-.0200111{col 102}{space 3} -.003127
{txt}{space 37}1990-1999  {c |}{col 49}{res}{space 2}-.0149422{col 61}{space 2} .0047482{col 72}{space 1}   -3.15{col 81}{space 3}0.002{col 89}{space 4}-.0242485{col 102}{space 3}-.0056358
{txt}{space 34}2000 onwards  {c |}{col 49}{res}{space 2}-.0186448{col 61}{space 2} .0051191{col 72}{space 1}   -3.64{col 81}{space 3}0.000{col 89}{space 4} -.028678{col 102}{space 3}-.0086116
{txt}{space 47} {c |}
{space 42}_cons {c |}{col 49}{res}{space 2} .0739657{col 61}{space 2}  .009511{col 72}{space 1}    7.78{col 81}{space 3}0.000{col 89}{space 4} .0553245{col 102}{space 3} .0926069
{txt}{hline 48}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0003521{col 44} .0000712{col 58} .0002369{col 70} .0005233
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0011552{col 44} .0000501{col 58} .0010611{col 70} .0012577
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}125.92{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous_meymill=(0 1) leaderdom=(0 10 20 30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,178

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0050821{col 26}{space 2} .0040162{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4}-.0027895{col 67}{space 3} .0129538
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0013425{col 26}{space 2} .0022013{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4} -.002972{col 67}{space 3} .0056569
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0023972{col 26}{space 2} .0013307{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4}-.0050054{col 67}{space 3}  .000211
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0061368{col 26}{space 2} .0026278{col 37}{space 1}   -2.34{col 46}{space 3}0.020{col 54}{space 4}-.0112873{col 67}{space 3}-.0009863
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0023068{col 26}{space 2} .0064017{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0148538{col 67}{space 3} .0102403
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0007529{col 26}{space 2} .0035334{col 37}{space 1}   -0.21{col 46}{space 3}0.831{col 54}{space 4}-.0076783{col 67}{space 3} .0061725
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0008009{col 26}{space 2} .0022619{col 37}{space 1}    0.35{col 46}{space 3}0.723{col 54}{space 4}-.0036324{col 67}{space 3} .0052342
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0023547{col 26}{space 2} .0043445{col 37}{space 1}    0.54{col 46}{space 3}0.588{col 54}{space 4}-.0061604{col 67}{space 3} .0108698
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Lead. dom.=0" 6 "Lead. dom.=10" 7 "Lead. dom.=20" 8 "Lead. dom.=30")) ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous_meymill leaderdom{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_meymil c.l.pss##i.niche_party_previous_meymill##c.l.vote_share vote_loss party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 2978.6637}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 2978.6637}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    77.37
{txt}Log likelihood = {res} 2978.6637{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 50}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                 nicheness_meymil{col 51}{c |}      Coef.{col 63}   Std. Err.{col 75}      z{col 83}   P>|z|{col 91}     [95% Con{col 104}f. Interval]
{hline 50}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 46}pss {c |}
{space 46}L1. {c |}{col 51}{res}{space 2} -.002463{col 63}{space 2} .0017535{col 74}{space 1}   -1.40{col 83}{space 3}0.160{col 91}{space 4}-.0058998{col 104}{space 3} .0009737
{txt}{space 49} {c |}
{space 21}niche_party_previous_meymill {c |}
{space 42}NP t-1  {c |}{col 51}{res}{space 2} .0135903{col 63}{space 2} .0039849{col 74}{space 1}    3.41{col 83}{space 3}0.001{col 91}{space 4} .0057802{col 104}{space 3} .0214005
{txt}{space 49} {c |}
{space 14}niche_party_previous_meymill#cL.pss {c |}
{space 42}NP t-1  {c |}{col 51}{res}{space 2} .0024429{col 63}{space 2} .0030002{col 74}{space 1}    0.81{col 83}{space 3}0.416{col 91}{space 4}-.0034374{col 104}{space 3} .0083232
{txt}{space 49} {c |}
{space 39}vote_share {c |}
{space 46}L1. {c |}{col 51}{res}{space 2}-.0004118{col 63}{space 2} .0001652{col 74}{space 1}   -2.49{col 83}{space 3}0.013{col 91}{space 4}-.0007356{col 104}{space 3} -.000088
{txt}{space 49} {c |}
{space 29}cL.pss#cL.vote_share {c |}{col 51}{res}{space 2} .0000689{col 63}{space 2} .0000887{col 74}{space 1}    0.78{col 83}{space 3}0.437{col 91}{space 4}-.0001048{col 104}{space 3} .0002427
{txt}{space 49} {c |}
{space 7}niche_party_previous_meymill#cL.vote_share {c |}
{space 42}NP t-1  {c |}{col 51}{res}{space 2}-.0007212{col 63}{space 2} .0002335{col 74}{space 1}   -3.09{col 83}{space 3}0.002{col 91}{space 4}-.0011789{col 104}{space 3}-.0002635
{txt}{space 49} {c |}
niche_party_previous_meymill#cL.pss#cL.vote_share {c |}
{space 42}NP t-1  {c |}{col 51}{res}{space 2}-.0001155{col 63}{space 2} .0002377{col 74}{space 1}   -0.49{col 83}{space 3}0.627{col 91}{space 4}-.0005813{col 104}{space 3} .0003503
{txt}{space 49} {c |}
{space 40}vote_loss {c |}{col 51}{res}{space 2}-.0003367{col 63}{space 2} .0002314{col 74}{space 1}   -1.45{col 83}{space 3}0.146{col 91}{space 4}-.0007902{col 104}{space 3} .0001168
{txt}{space 40}party_age {c |}{col 51}{res}{space 2} -.000122{col 63}{space 2} .0000663{col 74}{space 1}   -1.84{col 83}{space 3}0.066{col 91}{space 4}-.0002519{col 104}{space 3} 7.87e-06
{txt}{space 38}lopposition {c |}{col 51}{res}{space 2}-.0003696{col 63}{space 2} .0023801{col 74}{space 1}   -0.16{col 83}{space 3}0.877{col 91}{space 4}-.0050344{col 104}{space 3} .0042953
{txt}{space 49} {c |}
{space 43}decade {c |}
{space 39}1960-1969  {c |}{col 51}{res}{space 2}-.0011692{col 63}{space 2} .0037705{col 74}{space 1}   -0.31{col 83}{space 3}0.756{col 91}{space 4}-.0085593{col 104}{space 3} .0062209
{txt}{space 39}1970-1979  {c |}{col 51}{res}{space 2}-.0102012{col 63}{space 2} .0037889{col 74}{space 1}   -2.69{col 83}{space 3}0.007{col 91}{space 4}-.0176274{col 104}{space 3} -.002775
{txt}{space 39}1980-1989  {c |}{col 51}{res}{space 2}-.0096874{col 63}{space 2} .0040081{col 74}{space 1}   -2.42{col 83}{space 3}0.016{col 91}{space 4}-.0175432{col 104}{space 3}-.0018317
{txt}{space 39}1990-1999  {c |}{col 51}{res}{space 2}-.0129242{col 63}{space 2} .0044565{col 74}{space 1}   -2.90{col 83}{space 3}0.004{col 91}{space 4}-.0216588{col 104}{space 3}-.0041896
{txt}{space 36}2000 onwards  {c |}{col 51}{res}{space 2}-.0123606{col 63}{space 2} .0047344{col 74}{space 1}   -2.61{col 83}{space 3}0.009{col 91}{space 4}-.0216398{col 104}{space 3}-.0030814
{txt}{space 49} {c |}
{space 44}_cons {c |}{col 51}{res}{space 2} .0876296{col 63}{space 2} .0050075{col 74}{space 1}   17.50{col 83}{space 3}0.000{col 91}{space 4} .0778151{col 104}{space 3} .0974441
{txt}{hline 50}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0008541{col 44} .0001279{col 58} .0006369{col 70} .0011454
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}  .001203{col 44}  .000046{col 58}  .001116{col 70} .0012967
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}245.38{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous_meymill=(0 1) L.vote_share=(0 10 30 50)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.002463{col 26}{space 2} .0017535{col 37}{space 1}   -1.40{col 46}{space 3}0.160{col 54}{space 4}-.0058998{col 67}{space 3} .0009737
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0017736{col 26}{space 2}  .001266{col 37}{space 1}   -1.40{col 46}{space 3}0.161{col 54}{space 4} -.004255{col 67}{space 3} .0007077
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0003948{col 26}{space 2} .0018374{col 37}{space 1}   -0.21{col 46}{space 3}0.830{col 54}{space 4}-.0039962{col 67}{space 3} .0032065
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .000984{col 26}{space 2} .0033822{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4} -.005645{col 67}{space 3} .0076129
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0000201{col 26}{space 2} .0029041{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4} -.005712{col 67}{space 3} .0056717
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0004859{col 26}{space 2} .0020047{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4}-.0044151{col 67}{space 3} .0034432
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0014176{col 26}{space 2} .0053013{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4} -.011808{col 67}{space 3} .0089729
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0023492{col 26}{space 2} .0098018{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-.0215604{col 67}{space 3} .0168621
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Size t-1=0" 6 "Size t-1=10" 7 "Size t-1=30" 8 "Size t-1=50")) ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous_meymill L.vote_share{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_meymil c.l.pss##i.niche_party_previous_meymill##i.lopposition vote_loss party_age l.vote_share i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: 2976.7106}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: 2976.7106}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    72.29
{txt}Log likelihood = {res} 2976.7106{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 48}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                               nicheness_meymil{col 49}{c |}      Coef.{col 61}   Std. Err.{col 73}      z{col 81}   P>|z|{col 89}     [95% Con{col 102}f. Interval]
{hline 48}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 44}pss {c |}
{space 44}L1. {c |}{col 49}{res}{space 2}-.0006695{col 61}{space 2} .0015413{col 72}{space 1}   -0.43{col 81}{space 3}0.664{col 89}{space 4}-.0036903{col 102}{space 3} .0023514
{txt}{space 47} {c |}
{space 19}niche_party_previous_meymill {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2}-.0023818{col 61}{space 2} .0048935{col 72}{space 1}   -0.49{col 81}{space 3}0.626{col 89}{space 4}-.0119728{col 102}{space 3} .0072093
{txt}{space 47} {c |}
{space 12}niche_party_previous_meymill#cL.pss {c |}
{space 40}NP t-1  {c |}{col 49}{res}{space 2}-.0016204{col 61}{space 2} .0046084{col 72}{space 1}   -0.35{col 81}{space 3}0.725{col 89}{space 4}-.0106527{col 102}{space 3} .0074119
{txt}{space 47} {c |}
{space 36}lopposition {c |}
{space 32}Opposition t-1  {c |}{col 49}{res}{space 2}-.0014371{col 61}{space 2} .0025292{col 72}{space 1}   -0.57{col 81}{space 3}0.570{col 89}{space 4}-.0063943{col 102}{space 3} .0035201
{txt}{space 47} {c |}
{space 29}lopposition#cL.pss {c |}
{space 32}Opposition t-1  {c |}{col 49}{res}{space 2}-.0021252{col 61}{space 2} .0017274{col 72}{space 1}   -1.23{col 81}{space 3}0.219{col 89}{space 4}-.0055109{col 102}{space 3} .0012605
{txt}{space 47} {c |}
{space 7}niche_party_previous_meymill#lopposition {c |}
{space 25}NP t-1#Opposition t-1  {c |}{col 49}{res}{space 2} .0100448{col 61}{space 2} .0057373{col 72}{space 1}    1.75{col 81}{space 3}0.080{col 89}{space 4}-.0012001{col 102}{space 3} .0212897
{txt}{space 47} {c |}
niche_party_previous_meymill#lopposition#cL.pss {c |}
{space 25}NP t-1#Opposition t-1  {c |}{col 49}{res}{space 2} .0045273{col 61}{space 2} .0051097{col 72}{space 1}    0.89{col 81}{space 3}0.376{col 89}{space 4}-.0054875{col 102}{space 3} .0145422
{txt}{space 47} {c |}
{space 38}vote_loss {c |}{col 49}{res}{space 2}-.0003299{col 61}{space 2} .0002317{col 72}{space 1}   -1.42{col 81}{space 3}0.155{col 89}{space 4}-.0007841{col 102}{space 3} .0001243
{txt}{space 38}party_age {c |}{col 49}{res}{space 2}-.0001247{col 61}{space 2} .0000672{col 72}{space 1}   -1.86{col 81}{space 3}0.063{col 89}{space 4}-.0002564{col 102}{space 3} 6.96e-06
{txt}{space 47} {c |}
{space 37}vote_share {c |}
{space 44}L1. {c |}{col 49}{res}{space 2}-.0005023{col 61}{space 2} .0001603{col 72}{space 1}   -3.13{col 81}{space 3}0.002{col 89}{space 4}-.0008165{col 102}{space 3} -.000188
{txt}{space 47} {c |}
{space 41}decade {c |}
{space 37}1960-1969  {c |}{col 49}{res}{space 2}-.0013314{col 61}{space 2} .0037705{col 72}{space 1}   -0.35{col 81}{space 3}0.724{col 89}{space 4}-.0087216{col 102}{space 3} .0060587
{txt}{space 37}1970-1979  {c |}{col 49}{res}{space 2}-.0100265{col 61}{space 2} .0037951{col 72}{space 1}   -2.64{col 81}{space 3}0.008{col 89}{space 4}-.0174647{col 102}{space 3}-.0025883
{txt}{space 37}1980-1989  {c |}{col 49}{res}{space 2}-.0097033{col 61}{space 2} .0040237{col 72}{space 1}   -2.41{col 81}{space 3}0.016{col 89}{space 4}-.0175896{col 102}{space 3}-.0018169
{txt}{space 37}1990-1999  {c |}{col 49}{res}{space 2}-.0132693{col 61}{space 2} .0044834{col 72}{space 1}   -2.96{col 81}{space 3}0.003{col 89}{space 4}-.0220566{col 102}{space 3} -.004482
{txt}{space 34}2000 onwards  {c |}{col 49}{res}{space 2}-.0125868{col 61}{space 2} .0047764{col 72}{space 1}   -2.64{col 81}{space 3}0.008{col 89}{space 4}-.0219484{col 102}{space 3}-.0032252
{txt}{space 47} {c |}
{space 42}_cons {c |}{col 49}{res}{space 2} .0900317{col 61}{space 2} .0050258{col 72}{space 1}   17.91{col 81}{space 3}0.000{col 89}{space 4} .0801813{col 102}{space 3} .0998821
{txt}{hline 48}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .0008953{col 44} .0001312{col 58} .0006718{col 70}  .001193
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} .0012002{col 44} .0000459{col 58} .0011136{col 70} .0012935
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}264.06{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous_meymill=(0 1) lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous_meymill}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0006695{col 26}{space 2} .0015413{col 37}{space 1}   -0.43{col 46}{space 3}0.664{col 54}{space 4}-.0036903{col 67}{space 3} .0023514
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0027947{col 26}{space 2} .0014282{col 37}{space 1}   -1.96{col 46}{space 3}0.050{col 54}{space 4}-.0055938{col 67}{space 3} 4.49e-06
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0022899{col 26}{space 2} .0045655{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4}-.0112381{col 67}{space 3} .0066583
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0001123{col 26}{space 2} .0021346{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-.0040715{col 67}{space 3}  .004296
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13)) ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(3 "Government t-1" 4 "Opposition t-1")) ///
> graphregion(fcolor(white)) name(e, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous_meymill lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d e, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA15.wmf", replace
{txt}
{com}. 
. *Replicate Table A12 and Figure A16
. 
. logit morecohesiveshiftdummy l.d.pss  c.vote_loss l.vote_share party_age lopposition i.decade, cluster(party_id)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-50.615144}  
Iteration 1:{space 3}log pseudolikelihood = {res: -44.54468}  
Iteration 2:{space 3}log pseudolikelihood = {res:-44.505163}  
Iteration 3:{space 3}log pseudolikelihood = {res: -44.50513}  
Iteration 4:{space 3}log pseudolikelihood = {res: -44.50513}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}        74
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     30.34
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -44.50513{txt}{col 49}Pseudo R2{col 67}= {res}    0.1207

{txt}{ralign 88:(Std. Err. adjusted for {res:24} clusters in party_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}morecohesiveshiftdummy{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}pss {c |}
{space 19}LD. {c |}{col 24}{res}{space 2}-.1064852{col 36}{space 2} .4356084{col 47}{space 1}   -0.24{col 56}{space 3}0.807{col 64}{space 4}-.9602619{col 77}{space 3} .7472915
{txt}{space 22} {c |}
{space 13}vote_loss {c |}{col 24}{res}{space 2}  .085224{col 36}{space 2} .0698509{col 47}{space 1}    1.22{col 56}{space 3}0.222{col 64}{space 4}-.0516813{col 77}{space 3} .2221294
{txt}{space 22} {c |}
{space 12}vote_share {c |}
{space 19}L1. {c |}{col 24}{res}{space 2}-.0492915{col 36}{space 2} .0269704{col 47}{space 1}   -1.83{col 56}{space 3}0.068{col 64}{space 4}-.1021525{col 77}{space 3} .0035695
{txt}{space 22} {c |}
{space 13}party_age {c |}{col 24}{res}{space 2}   .00415{col 36}{space 2} .0074257{col 47}{space 1}    0.56{col 56}{space 3}0.576{col 64}{space 4}-.0104041{col 77}{space 3} .0187042
{txt}{space 11}lopposition {c |}{col 24}{res}{space 2}-1.245622{col 36}{space 2} .7243943{col 47}{space 1}   -1.72{col 56}{space 3}0.086{col 64}{space 4}-2.665409{col 77}{space 3}  .174165
{txt}{space 22} {c |}
{space 16}decade {c |}
{space 9}2000 onwards  {c |}{col 24}{res}{space 2}-1.075193{col 36}{space 2} .5248755{col 47}{space 1}   -2.05{col 56}{space 3}0.041{col 64}{space 4} -2.10393{col 77}{space 3}-.0464563
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 2.319621{col 36}{space 2} .8141832{col 47}{space 1}    2.85{col 56}{space 3}0.004{col 64}{space 4} .7238508{col 77}{space 3}  3.91539
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod1
{txt}
{com}. 
. reg morecohesiveshiftdummy c.l.d.pss##c.party_age  c.vote_loss l.vote_share lopposition i.decade, cluster(party_id)

{txt}Linear regression                               Number of obs     = {res}        74
                                                {txt}F(7, 23)          =  {res}     9.09
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1557
                                                {txt}Root MSE          =    {res}   .482

{txt}{ralign 85:(Std. Err. adjusted for {res:24} clusters in party_id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}morecohesiveshift~y{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}pss {c |}
{space 16}LD. {c |}{col 21}{res}{space 2} .0584968{col 33}{space 2}  .167755{col 44}{space 1}    0.35{col 53}{space 3}0.730{col 61}{space 4}-.2885308{col 74}{space 3} .4055245
{txt}{space 19} {c |}
{space 10}party_age {c |}{col 21}{res}{space 2} .0010543{col 33}{space 2} .0018371{col 44}{space 1}    0.57{col 53}{space 3}0.572{col 61}{space 4}-.0027461{col 74}{space 3} .0048547
{txt}{space 19} {c |}
cLD.pss#c.party_age {c |}{col 21}{res}{space 2}-.0018181{col 33}{space 2} .0034063{col 44}{space 1}   -0.53{col 53}{space 3}0.599{col 61}{space 4}-.0088646{col 74}{space 3} .0052284
{txt}{space 19} {c |}
{space 10}vote_loss {c |}{col 21}{res}{space 2} .0191472{col 33}{space 2} .0142924{col 44}{space 1}    1.34{col 53}{space 3}0.193{col 61}{space 4}-.0104188{col 74}{space 3} .0487133
{txt}{space 19} {c |}
{space 9}vote_share {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0105433{col 33}{space 2} .0053138{col 44}{space 1}   -1.98{col 53}{space 3}0.059{col 61}{space 4}-.0215357{col 74}{space 3} .0004491
{txt}{space 19} {c |}
{space 8}lopposition {c |}{col 21}{res}{space 2}-.2577889{col 33}{space 2}   .13857{col 44}{space 1}   -1.86{col 53}{space 3}0.076{col 61}{space 4}-.5444428{col 74}{space 3}  .028865
{txt}{space 19} {c |}
{space 13}decade {c |}
{space 6}2000 onwards  {c |}{col 21}{res}{space 2}-.2075962{col 33}{space 2} .1228822{col 44}{space 1}   -1.69{col 53}{space 3}0.105{col 61}{space 4}-.4617974{col 74}{space 3} .0466051
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}  .964128{col 33}{space 2} .1399652{col 44}{space 1}    6.89{col 53}{space 3}0.000{col 61}{space 4} .6745878{col 74}{space 3} 1.253668
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store mod2
{txt}
{com}. margins, dydx(L.d.pss) at(party_age=(1(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}        74
{txt}Model VCE{col 14}: {res}Robust

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{col 14}{c |}{col 26} Delta-method
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{txt}{space 8}148  {c |}{col 14}{res}{space 2}-.2105816{col 26}{space 2} .3772502{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4}-.9909831{col 67}{space 3} .5698199
{txt}{space 8}149  {c |}{col 14}{res}{space 2}-.2123997{col 26}{space 2} .3805496{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4}-.9996265{col 67}{space 3} .5748272
{txt}{space 8}150  {c |}{col 14}{res}{space 2}-.2142178{col 26}{space 2} .3838509{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4}-1.008274{col 67}{space 3} .5798383
{txt}{space 8}151  {c |}{col 14}{res}{space 2}-.2160359{col 26}{space 2}  .387154{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4}-1.016925{col 67}{space 3} .5848532
{txt}{space 8}152  {c |}{col 14}{res}{space 2} -.217854{col 26}{space 2} .3904589{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4} -1.02558{col 67}{space 3} .5898718
{txt}{space 8}153  {c |}{col 14}{res}{space 2}-.2196721{col 26}{space 2} .3937655{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4}-1.034238{col 67}{space 3} .5948939
{txt}{space 8}154  {c |}{col 14}{res}{space 2}-.2214902{col 26}{space 2} .3970738{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4}  -1.0429{col 67}{space 3} .5999196
{txt}{space 8}155  {c |}{col 14}{res}{space 2}-.2233083{col 26}{space 2} .4003837{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4}-1.051565{col 67}{space 3} .6049486
{txt}{space 8}156  {c |}{col 14}{res}{space 2}-.2251264{col 26}{space 2} .4036953{col 37}{space 1}   -0.56{col 46}{space 3}0.582{col 54}{space 4}-1.060234{col 67}{space 3} .6099809
{txt}{space 8}157  {c |}{col 14}{res}{space 2}-.2269445{col 26}{space 2} .4070084{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.068905{col 67}{space 3} .6150165
{txt}{space 8}158  {c |}{col 14}{res}{space 2}-.2287626{col 26}{space 2}  .410323{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4} -1.07758{col 67}{space 3} .6200552
{txt}{space 8}159  {c |}{col 14}{res}{space 2}-.2305806{col 26}{space 2} .4136391{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.086258{col 67}{space 3} .6250971
{txt}{space 8}160  {c |}{col 14}{res}{space 2}-.2323987{col 26}{space 2} .4169567{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.094939{col 67}{space 3} .6301419
{txt}{space 8}161  {c |}{col 14}{res}{space 2}-.2342168{col 26}{space 2} .4202757{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.103623{col 67}{space 3} .6351897
{txt}{space 8}162  {c |}{col 14}{res}{space 2}-.2360349{col 26}{space 2} .4235961{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4} -1.11231{col 67}{space 3} .6402403
{txt}{space 8}163  {c |}{col 14}{res}{space 2} -.237853{col 26}{space 2} .4269178{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}   -1.121{col 67}{space 3} .6452937
{txt}{space 8}164  {c |}{col 14}{res}{space 2}-.2396711{col 26}{space 2} .4302409{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.129692{col 67}{space 3} .6503499
{txt}{space 8}165  {c |}{col 14}{res}{space 2}-.2414892{col 26}{space 2} .4335652{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.138387{col 67}{space 3} .6554087
{txt}{space 8}166  {c |}{col 14}{res}{space 2}-.2433073{col 26}{space 2} .4368908{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.147085{col 67}{space 3} .6604702
{txt}{space 8}167  {c |}{col 14}{res}{space 2}-.2451254{col 26}{space 2} .4402177{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.155785{col 67}{space 3} .6655342
{txt}{space 8}168  {c |}{col 14}{res}{space 2}-.2469435{col 26}{space 2} .4435457{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.164488{col 67}{space 3} .6706007
{txt}{space 8}169  {c |}{col 14}{res}{space 2}-.2487616{col 26}{space 2}  .446875{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.173193{col 67}{space 3} .6756696
{txt}{space 8}170  {c |}{col 14}{res}{space 2}-.2505797{col 26}{space 2} .4502053{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}  -1.1819{col 67}{space 3}  .680741
{txt}{space 8}171  {c |}{col 14}{res}{space 2}-.2523978{col 26}{space 2} .4535368{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4} -1.19061{col 67}{space 3} .6858146
{txt}{space 8}172  {c |}{col 14}{res}{space 2}-.2542159{col 26}{space 2} .4568695{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.199322{col 67}{space 3} .6908906
{txt}{space 8}173  {c |}{col 14}{res}{space 2} -.256034{col 26}{space 2} .4602032{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.208037{col 67}{space 3} .6959688
{txt}{space 8}174  {c |}{col 14}{res}{space 2}-.2578521{col 26}{space 2} .4635379{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.216753{col 67}{space 3} .7010491
{txt}{space 8}175  {c |}{col 14}{res}{space 2}-.2596702{col 26}{space 2} .4668737{col 37}{space 1}   -0.56{col 46}{space 3}0.583{col 54}{space 4}-1.225472{col 67}{space 3} .7061316
{txt}{space 8}176  {c |}{col 14}{res}{space 2}-.2614883{col 26}{space 2} .4702105{col 37}{space 1}   -0.56{col 46}{space 3}0.584{col 54}{space 4}-1.234193{col 67}{space 3} .7112162
{txt}{space 8}177  {c |}{col 14}{res}{space 2}-.2633064{col 26}{space 2} .4735483{col 37}{space 1}   -0.56{col 46}{space 3}0.584{col 54}{space 4}-1.242916{col 67}{space 3} .7163028
{txt}{space 8}178  {c |}{col 14}{res}{space 2}-.2651245{col 26}{space 2}  .476887{col 37}{space 1}   -0.56{col 46}{space 3}0.584{col 54}{space 4} -1.25164{col 67}{space 3} .7213915
{txt}{space 8}179  {c |}{col 14}{res}{space 2}-.2669426{col 26}{space 2} .4802267{col 37}{space 1}   -0.56{col 46}{space 3}0.584{col 54}{space 4}-1.260367{col 67}{space 3} .7264821
{txt}{space 8}180  {c |}{col 14}{res}{space 2}-.2687607{col 26}{space 2} .4835674{col 37}{space 1}   -0.56{col 46}{space 3}0.584{col 54}{space 4}-1.269096{col 67}{space 3} .7315746
{txt}{space 8}181  {c |}{col 14}{res}{space 2}-.2705788{col 26}{space 2} .4869089{col 37}{space 1}   -0.56{col 46}{space 3}0.584{col 54}{space 4}-1.277827{col 67}{space 3}  .736669
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(4,119 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 1 181 181
{txt}(4,012 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation increase t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. reg morecohesiveshiftdummy c.l.d.pss##c.leaderdom party_age  c.vote_loss l.vote_share lopposition i.decade, cluster(party_id)

{txt}Linear regression                               Number of obs     = {res}        57
                                                {txt}F(8, 17)          =  {res}    11.18
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2335
                                                {txt}Root MSE          =    {res} .47342

{txt}{ralign 85:(Std. Err. adjusted for {res:18} clusters in party_id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}morecohesiveshift~y{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}pss {c |}
{space 16}LD. {c |}{col 21}{res}{space 2} .2784312{col 33}{space 2} .3833953{col 44}{space 1}    0.73{col 53}{space 3}0.478{col 61}{space 4}-.5304622{col 74}{space 3} 1.087325
{txt}{space 19} {c |}
{space 10}leaderdom {c |}{col 21}{res}{space 2} .0190046{col 33}{space 2} .0119101{col 44}{space 1}    1.60{col 53}{space 3}0.129{col 61}{space 4}-.0061236{col 74}{space 3} .0441327
{txt}{space 19} {c |}
cLD.pss#c.leaderdom {c |}{col 21}{res}{space 2}-.0162796{col 33}{space 2}  .020127{col 44}{space 1}   -0.81{col 53}{space 3}0.430{col 61}{space 4}-.0587438{col 74}{space 3} .0261846
{txt}{space 19} {c |}
{space 10}party_age {c |}{col 21}{res}{space 2} .0028088{col 33}{space 2} .0016525{col 44}{space 1}    1.70{col 53}{space 3}0.107{col 61}{space 4}-.0006777{col 74}{space 3} .0062952
{txt}{space 10}vote_loss {c |}{col 21}{res}{space 2} .0169073{col 33}{space 2} .0129771{col 44}{space 1}    1.30{col 53}{space 3}0.210{col 61}{space 4}-.0104719{col 74}{space 3} .0442865
{txt}{space 19} {c |}
{space 9}vote_share {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0122428{col 33}{space 2} .0051206{col 44}{space 1}   -2.39{col 53}{space 3}0.029{col 61}{space 4}-.0230462{col 74}{space 3}-.0014393
{txt}{space 19} {c |}
{space 8}lopposition {c |}{col 21}{res}{space 2}-.2830253{col 33}{space 2} .1288059{col 44}{space 1}   -2.20{col 53}{space 3}0.042{col 61}{space 4}-.5547819{col 74}{space 3}-.0112687
{txt}{space 19} {c |}
{space 13}decade {c |}
{space 6}2000 onwards  {c |}{col 21}{res}{space 2} -.255853{col 33}{space 2} .1406459{col 44}{space 1}   -1.82{col 53}{space 3}0.087{col 61}{space 4}-.5525898{col 74}{space 3} .0408839
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .5764104{col 33}{space 2} .2189486{col 44}{space 1}    2.63{col 53}{space 3}0.017{col 61}{space 4} .1144691{col 74}{space 3} 1.038352
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store mod3
{txt}
{com}. 
. margins, dydx(L.d.pss) at(leaderdom=(0(1)30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}        57
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:LD.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}LD.pss       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2784312{col 26}{space 2} .3833953{col 37}{space 1}    0.73{col 46}{space 3}0.478{col 54}{space 4}-.5304622{col 67}{space 3} 1.087325
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2621516{col 26}{space 2} .3639658{col 37}{space 1}    0.72{col 46}{space 3}0.481{col 54}{space 4} -.505749{col 67}{space 3} 1.030052
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .245872{col 26}{space 2} .3446162{col 37}{space 1}    0.71{col 46}{space 3}0.485{col 54}{space 4}-.4812047{col 67}{space 3} .9729487
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2295924{col 26}{space 2} .3253611{col 37}{space 1}    0.71{col 46}{space 3}0.490{col 54}{space 4}-.4568595{col 67}{space 3} .9160442
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2133127{col 26}{space 2}  .306218{col 37}{space 1}    0.70{col 46}{space 3}0.495{col 54}{space 4}-.4327509{col 67}{space 3} .8593763
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1970331{col 26}{space 2} .2872096{col 37}{space 1}    0.69{col 46}{space 3}0.502{col 54}{space 4}-.4089262{col 67}{space 3} .8029924
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1807535{col 26}{space 2} .2683643{col 37}{space 1}    0.67{col 46}{space 3}0.510{col 54}{space 4}-.3854457{col 67}{space 3} .7469526
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1644738{col 26}{space 2} .2497191{col 37}{space 1}    0.66{col 46}{space 3}0.519{col 54}{space 4}-.3623874{col 67}{space 3} .6913351
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .1481942{col 26}{space 2} .2313224{col 37}{space 1}    0.64{col 46}{space 3}0.530{col 54}{space 4}-.3398533{col 67}{space 3} .6362418
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1319146{col 26}{space 2} .2132385{col 37}{space 1}    0.62{col 46}{space 3}0.544{col 54}{space 4}-.3179793{col 67}{space 3} .5818085
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  .115635{col 26}{space 2} .1955542{col 37}{space 1}    0.59{col 46}{space 3}0.562{col 54}{space 4}-.2969484{col 67}{space 3} .5282183
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0993553{col 26}{space 2} .1783884{col 37}{space 1}    0.56{col 46}{space 3}0.585{col 54}{space 4}-.2770114{col 67}{space 3} .4757221
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0830757{col 26}{space 2} .1619062{col 37}{space 1}    0.51{col 46}{space 3}0.614{col 54}{space 4}-.2585165{col 67}{space 3} .4246679
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .0667961{col 26}{space 2} .1463386{col 37}{space 1}    0.46{col 46}{space 3}0.654{col 54}{space 4}-.2419514{col 67}{space 3} .3755435
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .0505165{col 26}{space 2} .1320096{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-.2279995{col 67}{space 3} .3290324
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .0342368{col 26}{space 2} .1193662{col 37}{space 1}    0.29{col 46}{space 3}0.778{col 54}{space 4}-.2176038{col 67}{space 3} .2860775
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0179572{col 26}{space 2} .1089964{col 37}{space 1}    0.16{col 46}{space 3}0.871{col 54}{space 4}-.2120052{col 67}{space 3} .2479196
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .0016776{col 26}{space 2} .1015989{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.2126775{col 67}{space 3} .2160326
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0146021{col 26}{space 2} .0978502{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-.2210479{col 67}{space 3} .1918438
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.0308817{col 26}{space 2} .0981691{col 37}{space 1}   -0.31{col 46}{space 3}0.757{col 54}{space 4}-.2380003{col 67}{space 3} .1762369
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0471613{col 26}{space 2} .1025176{col 37}{space 1}   -0.46{col 46}{space 3}0.651{col 54}{space 4}-.2634545{col 67}{space 3} .1691319
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0634409{col 26}{space 2} .1104207{col 37}{space 1}   -0.57{col 46}{space 3}0.573{col 54}{space 4}-.2964083{col 67}{space 3} .1695265
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.0797206{col 26}{space 2}  .121185{col 37}{space 1}   -0.66{col 46}{space 3}0.519{col 54}{space 4}-.3353986{col 67}{space 3} .1759575
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0960002{col 26}{space 2} .1341234{col 37}{space 1}   -0.72{col 46}{space 3}0.484{col 54}{space 4}-.3789757{col 67}{space 3} .1869753
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.1122798{col 26}{space 2} .1486692{col 37}{space 1}   -0.76{col 46}{space 3}0.460{col 54}{space 4}-.4259444{col 67}{space 3} .2013847
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.1285594{col 26}{space 2} .1643964{col 37}{space 1}   -0.78{col 46}{space 3}0.445{col 54}{space 4}-.4754055{col 67}{space 3} .2182866
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.1448391{col 26}{space 2} .1809972{col 37}{space 1}   -0.80{col 46}{space 3}0.435{col 54}{space 4}-.5267098{col 67}{space 3} .2370317
{txt}{space 9}28  {c |}{col 14}{res}{space 2}-.1611187{col 26}{space 2} .1982524{col 37}{space 1}   -0.81{col 46}{space 3}0.428{col 54}{space 4}-.5793947{col 67}{space 3} .2571573
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.1773983{col 26}{space 2} .2160051{col 37}{space 1}   -0.82{col 46}{space 3}0.423{col 54}{space 4}-.6331293{col 67}{space 3} .2783327
{txt}{space 9}30  {c |}{col 14}{res}{space 2} -.193678{col 26}{space 2} .2341423{col 37}{space 1}   -0.83{col 46}{space 3}0.420{col 54}{space 4} -.687675{col 67}{space 3} .3003191
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.2099576{col 26}{space 2} .2525811{col 37}{space 1}   -0.83{col 46}{space 3}0.417{col 54}{space 4}-.7428571{col 67}{space 3} .3229419
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(4,136 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 30 31
{txt}(4,162 missing values generated)

{com}. 
. twoway hist leaderdom if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Leader dominance",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation increase t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. reg morecohesiveshiftdummy c.l.d.pss##c.l.vote_share party_age  c.vote_loss  lopposition i.decade, cluster(party_id)

{txt}Linear regression                               Number of obs     = {res}        74
                                                {txt}F(7, 23)          =  {res}     7.96
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.1614
                                                {txt}Root MSE          =    {res} .48039

{txt}{ralign 87:(Std. Err. adjusted for {res:24} clusters in party_id)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}morecohesiveshiftdu~y{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      t{col 55}   P>|t|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}pss {c |}
{space 18}LD. {c |}{col 23}{res}{space 2}-.1225482{col 35}{space 2} .1483855{col 46}{space 1}   -0.83{col 55}{space 3}0.417{col 63}{space 4} -.429507{col 76}{space 3} .1844107
{txt}{space 21} {c |}
{space 11}vote_share {c |}
{space 18}L1. {c |}{col 23}{res}{space 2} -.010173{col 35}{space 2} .0050448{col 46}{space 1}   -2.02{col 55}{space 3}0.056{col 63}{space 4} -.020609{col 76}{space 3} .0002629
{txt}{space 21} {c |}
cLD.pss#cL.vote_share {c |}{col 23}{res}{space 2} .0071597{col 35}{space 2} .0068251{col 46}{space 1}    1.05{col 55}{space 3}0.305{col 63}{space 4}-.0069591{col 76}{space 3} .0212784
{txt}{space 21} {c |}
{space 12}party_age {c |}{col 23}{res}{space 2} .0008003{col 35}{space 2} .0017021{col 46}{space 1}    0.47{col 55}{space 3}0.643{col 63}{space 4}-.0027207{col 76}{space 3} .0043212
{txt}{space 12}vote_loss {c |}{col 23}{res}{space 2}  .014141{col 35}{space 2}  .013271{col 46}{space 1}    1.07{col 55}{space 3}0.298{col 63}{space 4}-.0133121{col 76}{space 3}  .041594
{txt}{space 10}lopposition {c |}{col 23}{res}{space 2}-.2357856{col 35}{space 2} .1380836{col 46}{space 1}   -1.71{col 55}{space 3}0.101{col 63}{space 4}-.5214334{col 76}{space 3} .0498622
{txt}{space 21} {c |}
{space 15}decade {c |}
{space 8}2000 onwards  {c |}{col 23}{res}{space 2} -.231113{col 35}{space 2} .1180799{col 46}{space 1}   -1.96{col 55}{space 3}0.063{col 63}{space 4}-.4753798{col 76}{space 3} .0131538
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .9726952{col 35}{space 2} .1456425{col 46}{space 1}    6.68{col 55}{space 3}0.000{col 63}{space 4} .6714107{col 76}{space 3}  1.27398
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store mod4
{txt}
{com}. 
. margins, dydx(L.d.pss) at(L.vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}        74
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:LD.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}LD.pss       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1225482{col 26}{space 2} .1483855{col 37}{space 1}   -0.83{col 46}{space 3}0.417{col 54}{space 4} -.429507{col 67}{space 3} .1844107
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1153885{col 26}{space 2} .1429978{col 37}{space 1}   -0.81{col 46}{space 3}0.428{col 54}{space 4}-.4112019{col 67}{space 3} .1804249
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1082288{col 26}{space 2} .1377375{col 37}{space 1}   -0.79{col 46}{space 3}0.440{col 54}{space 4}-.3931605{col 67}{space 3} .1767029
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1010692{col 26}{space 2} .1326199{col 37}{space 1}   -0.76{col 46}{space 3}0.454{col 54}{space 4}-.3754143{col 67}{space 3}  .173276
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0939095{col 26}{space 2} .1276621{col 37}{space 1}   -0.74{col 46}{space 3}0.469{col 54}{space 4}-.3579987{col 67}{space 3} .1701797
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0867498{col 26}{space 2} .1228836{col 37}{space 1}   -0.71{col 46}{space 3}0.487{col 54}{space 4}-.3409538{col 67}{space 3} .1674542
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0795902{col 26}{space 2} .1183059{col 37}{space 1}   -0.67{col 46}{space 3}0.508{col 54}{space 4}-.3243245{col 67}{space 3} .1651442
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0724305{col 26}{space 2} .1139533{col 37}{space 1}   -0.64{col 46}{space 3}0.531{col 54}{space 4}-.3081608{col 67}{space 3} .1632998
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0652708{col 26}{space 2} .1098526{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4}-.2925182{col 67}{space 3} .1619765
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0581112{col 26}{space 2}  .106033{col 37}{space 1}   -0.55{col 46}{space 3}0.589{col 54}{space 4}-.2774571{col 67}{space 3} .1612347
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0509515{col 26}{space 2} .1025259{col 37}{space 1}   -0.50{col 46}{space 3}0.624{col 54}{space 4}-.2630424{col 67}{space 3} .1611394
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0437918{col 26}{space 2} .0993644{col 37}{space 1}   -0.44{col 46}{space 3}0.664{col 54}{space 4}-.2493427{col 67}{space 3} .1617591
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-.0366322{col 26}{space 2} .0965825{col 37}{space 1}   -0.38{col 46}{space 3}0.708{col 54}{space 4}-.2364282{col 67}{space 3} .1631639
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.0294725{col 26}{space 2} .0942137{col 37}{space 1}   -0.31{col 46}{space 3}0.757{col 54}{space 4}-.2243684{col 67}{space 3} .1654234
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0223128{col 26}{space 2}   .09229{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-.2132292{col 67}{space 3} .1686036
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0151531{col 26}{space 2} .0908395{col 37}{space 1}   -0.17{col 46}{space 3}0.869{col 54}{space 4} -.203069{col 67}{space 3} .1727628
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0079935{col 26}{space 2} .0898853{col 37}{space 1}   -0.09{col 46}{space 3}0.930{col 54}{space 4}-.1939354{col 67}{space 3} .1779484
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.0008338{col 26}{space 2} .0894431{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4} -.185861{col 67}{space 3} .1841934
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .0063259{col 26}{space 2} .0895206{col 37}{space 1}    0.07{col 46}{space 3}0.944{col 54}{space 4}-.1788617{col 67}{space 3} .1915134
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .0134855{col 26}{space 2} .0901165{col 37}{space 1}    0.15{col 46}{space 3}0.882{col 54}{space 4}-.1729346{col 67}{space 3} .1999056
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .0206452{col 26}{space 2} .0912205{col 37}{space 1}    0.23{col 46}{space 3}0.823{col 54}{space 4}-.1680587{col 67}{space 3} .2093491
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .0278049{col 26}{space 2} .0928145{col 37}{space 1}    0.30{col 46}{space 3}0.767{col 54}{space 4}-.1641966{col 67}{space 3} .2198063
{txt}{space 9}23  {c |}{col 14}{res}{space 2} .0349645{col 26}{space 2} .0948739{col 37}{space 1}    0.37{col 46}{space 3}0.716{col 54}{space 4}-.1612971{col 67}{space 3} .2312261
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .0421242{col 26}{space 2} .0973691{col 37}{space 1}    0.43{col 46}{space 3}0.669{col 54}{space 4}-.1592991{col 67}{space 3} .2435475
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .0492839{col 26}{space 2} .1002676{col 37}{space 1}    0.49{col 46}{space 3}0.628{col 54}{space 4}-.1581355{col 67}{space 3} .2567032
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .0564435{col 26}{space 2} .1035355{col 37}{space 1}    0.55{col 46}{space 3}0.591{col 54}{space 4} -.157736{col 67}{space 3} .2706231
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .0636032{col 26}{space 2} .1071391{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}-.1580309{col 67}{space 3} .2852373
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .0707629{col 26}{space 2} .1110456{col 37}{space 1}    0.64{col 46}{space 3}0.530{col 54}{space 4}-.1589524{col 67}{space 3} .3004782
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .0779225{col 26}{space 2} .1152242{col 37}{space 1}    0.68{col 46}{space 3}0.506{col 54}{space 4}-.1604369{col 67}{space 3}  .316282
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0850822{col 26}{space 2} .1196465{col 37}{space 1}    0.71{col 46}{space 3}0.484{col 54}{space 4}-.1624255{col 67}{space 3} .3325899
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .0922419{col 26}{space 2} .1242864{col 37}{space 1}    0.74{col 46}{space 3}0.465{col 54}{space 4}-.1648642{col 67}{space 3}  .349348
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .0994016{col 26}{space 2} .1291205{col 37}{space 1}    0.77{col 46}{space 3}0.449{col 54}{space 4}-.1677046{col 67}{space 3} .3665077
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .1065612{col 26}{space 2} .1341278{col 37}{space 1}    0.79{col 46}{space 3}0.435{col 54}{space 4}-.1709033{col 67}{space 3} .3840257
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .1137209{col 26}{space 2} .1392896{col 37}{space 1}    0.82{col 46}{space 3}0.423{col 54}{space 4}-.1744216{col 67}{space 3} .4018634
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .1208806{col 26}{space 2} .1445893{col 37}{space 1}    0.84{col 46}{space 3}0.412{col 54}{space 4}-.1782252{col 67}{space 3} .4199864
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .1280402{col 26}{space 2} .1500124{col 37}{space 1}    0.85{col 46}{space 3}0.402{col 54}{space 4} -.182284{col 67}{space 3} .4383645
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .1351999{col 26}{space 2} .1555459{col 37}{space 1}    0.87{col 46}{space 3}0.394{col 54}{space 4}-.1865713{col 67}{space 3} .4569711
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .1423596{col 26}{space 2} .1611785{col 37}{space 1}    0.88{col 46}{space 3}0.386{col 54}{space 4}-.1910635{col 67}{space 3} .4757826
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .1495192{col 26}{space 2} .1669001{col 37}{space 1}    0.90{col 46}{space 3}0.380{col 54}{space 4}-.1957399{col 67}{space 3} .4947783
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .1566789{col 26}{space 2} .1727019{col 37}{space 1}    0.91{col 46}{space 3}0.374{col 54}{space 4}-.2005821{col 67}{space 3} .5139399
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .1638386{col 26}{space 2}  .178576{col 37}{space 1}    0.92{col 46}{space 3}0.368{col 54}{space 4}-.2055741{col 67}{space 3} .5332512
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .1709982{col 26}{space 2} .1845156{col 37}{space 1}    0.93{col 46}{space 3}0.364{col 54}{space 4}-.2107015{col 67}{space 3} .5526979
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .1781579{col 26}{space 2} .1905146{col 37}{space 1}    0.94{col 46}{space 3}0.359{col 54}{space 4}-.2159516{col 67}{space 3} .5722674
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .1853176{col 26}{space 2} .1965675{col 37}{space 1}    0.94{col 46}{space 3}0.356{col 54}{space 4}-.2213132{col 67}{space 3} .5919483
{txt}{space 9}45  {c |}{col 14}{res}{space 2} .1924772{col 26}{space 2} .2026694{col 37}{space 1}    0.95{col 46}{space 3}0.352{col 54}{space 4}-.2267763{col 67}{space 3} .6117308
{txt}{space 9}46  {c |}{col 14}{res}{space 2} .1996369{col 26}{space 2} .2088161{col 37}{space 1}    0.96{col 46}{space 3}0.349{col 54}{space 4}-.2323321{col 67}{space 3} .6316059
{txt}{space 9}47  {c |}{col 14}{res}{space 2} .2067966{col 26}{space 2} .2150037{col 37}{space 1}    0.96{col 46}{space 3}0.346{col 54}{space 4}-.2379725{col 67}{space 3} .6515657
{txt}{space 9}48  {c |}{col 14}{res}{space 2} .2139562{col 26}{space 2} .2212289{col 37}{space 1}    0.97{col 46}{space 3}0.344{col 54}{space 4}-.2436905{col 67}{space 3}  .671603
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .2211159{col 26}{space 2} .2274884{col 37}{space 1}    0.97{col 46}{space 3}0.341{col 54}{space 4}-.2494797{col 67}{space 3} .6917115
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .2282756{col 26}{space 2} .2337796{col 37}{space 1}    0.98{col 46}{space 3}0.339{col 54}{space 4}-.2553344{col 67}{space 3} .7118856
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .2354353{col 26}{space 2}    .2401{col 37}{space 1}    0.98{col 46}{space 3}0.337{col 54}{space 4}-.2612494{col 67}{space 3} .7321199
{txt}{space 9}52  {c |}{col 14}{res}{space 2} .2425949{col 26}{space 2} .2464473{col 37}{space 1}    0.98{col 46}{space 3}0.335{col 54}{space 4}-.2672201{col 67}{space 3}   .75241
{txt}{space 9}53  {c |}{col 14}{res}{space 2} .2497546{col 26}{space 2} .2528195{col 37}{space 1}    0.99{col 46}{space 3}0.333{col 54}{space 4}-.2732423{col 67}{space 3} .7727515
{txt}{space 9}54  {c |}{col 14}{res}{space 2} .2569143{col 26}{space 2} .2592147{col 37}{space 1}    0.99{col 46}{space 3}0.332{col 54}{space 4}-.2793122{col 67}{space 3} .7931408
{txt}{space 9}55  {c |}{col 14}{res}{space 2} .2640739{col 26}{space 2} .2656314{col 37}{space 1}    0.99{col 46}{space 3}0.331{col 54}{space 4}-.2854264{col 67}{space 3} .8135743
{txt}{space 9}56  {c |}{col 14}{res}{space 2} .2712336{col 26}{space 2} .2720679{col 37}{space 1}    1.00{col 46}{space 3}0.329{col 54}{space 4}-.2915817{col 67}{space 3} .8340489
{txt}{space 9}57  {c |}{col 14}{res}{space 2} .2783933{col 26}{space 2} .2785229{col 37}{space 1}    1.00{col 46}{space 3}0.328{col 54}{space 4}-.2977753{col 67}{space 3} .8545618
{txt}{space 9}58  {c |}{col 14}{res}{space 2} .2855529{col 26}{space 2} .2849952{col 37}{space 1}    1.00{col 46}{space 3}0.327{col 54}{space 4}-.3040045{col 67}{space 3} .8751104
{txt}{space 9}59  {c |}{col 14}{res}{space 2} .2927126{col 26}{space 2} .2914835{col 37}{space 1}    1.00{col 46}{space 3}0.326{col 54}{space 4} -.310267{col 67}{space 3} .8956922
{txt}{space 9}60  {c |}{col 14}{res}{space 2} .2998723{col 26}{space 2} .2979869{col 37}{space 1}    1.01{col 46}{space 3}0.325{col 54}{space 4}-.3165607{col 67}{space 3} .9163052
{txt}{space 9}61  {c |}{col 14}{res}{space 2} .3070319{col 26}{space 2} .3045044{col 37}{space 1}    1.01{col 46}{space 3}0.324{col 54}{space 4}-.3228834{col 67}{space 3} .9369473
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(4,119 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(4,132 missing values generated)

{com}. 
. twoway hist lsize if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size t-1",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation increase t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(c, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. reg morecohesiveshiftdummy c.l.d.pss##i.lopposition l.vote_share party_age  c.vote_loss  i.decade, cluster(party_id)

{txt}Linear regression                               Number of obs     = {res}        74
                                                {txt}F(7, 23)          =  {res}     7.19
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.1933
                                                {txt}Root MSE          =    {res} .47115

{txt}{ralign 85:(Std. Err. adjusted for {res:24} clusters in party_id)}
{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}morecohesiveshift~y{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      t{col 53}   P>|t|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}pss {c |}
{space 16}LD. {c |}{col 21}{res}{space 2} .1664991{col 33}{space 2} .1733112{col 44}{space 1}    0.96{col 53}{space 3}0.347{col 61}{space 4}-.1920223{col 74}{space 3} .5250206
{txt}{space 19} {c |}
{space 8}lopposition {c |}
{space 4}Opposition t-1  {c |}{col 21}{res}{space 2} -.214879{col 33}{space 2} .1322442{col 44}{space 1}   -1.62{col 53}{space 3}0.118{col 61}{space 4}-.4884469{col 74}{space 3} .0586889
{txt}{space 19} {c |}
lopposition#cLD.pss {c |}
{space 4}Opposition t-1  {c |}{col 21}{res}{space 2}-.3107288{col 33}{space 2} .2009656{col 44}{space 1}   -1.55{col 53}{space 3}0.136{col 61}{space 4}-.7264579{col 74}{space 3} .1050003
{txt}{space 19} {c |}
{space 9}vote_share {c |}
{space 16}L1. {c |}{col 21}{res}{space 2}-.0102441{col 33}{space 2} .0047926{col 44}{space 1}   -2.14{col 53}{space 3}0.043{col 61}{space 4}-.0201584{col 74}{space 3}-.0003299
{txt}{space 19} {c |}
{space 10}party_age {c |}{col 21}{res}{space 2} .0008123{col 33}{space 2}  .001746{col 44}{space 1}    0.47{col 53}{space 3}0.646{col 61}{space 4}-.0027996{col 74}{space 3} .0044241
{txt}{space 10}vote_loss {c |}{col 21}{res}{space 2} .0189467{col 33}{space 2} .0137371{col 44}{space 1}    1.38{col 53}{space 3}0.181{col 61}{space 4}-.0094706{col 74}{space 3} .0473639
{txt}{space 19} {c |}
{space 13}decade {c |}
{space 6}2000 onwards  {c |}{col 21}{res}{space 2}-.1853044{col 33}{space 2} .1129143{col 44}{space 1}   -1.64{col 53}{space 3}0.114{col 61}{space 4}-.4188854{col 74}{space 3} .0482767
{txt}{space 14}_cons {c |}{col 21}{res}{space 2} .9284311{col 33}{space 2} .1503866{col 44}{space 1}    6.17{col 53}{space 3}0.000{col 61}{space 4} .6173327{col 74}{space 3} 1.239529
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store mod5
{txt}
{com}. 
. margins, dydx(L.d.pss) at(lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}        74
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:LD.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}LD.pss       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1664991{col 26}{space 2} .1733112{col 37}{space 1}    0.96{col 46}{space 3}0.347{col 54}{space 4}-.1920223{col 67}{space 3} .5250206
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1442297{col 26}{space 2} .0904119{col 37}{space 1}   -1.60{col 46}{space 3}0.124{col 54}{space 4}-.3312608{col 67}{space 3} .0428015
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation increase t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. 
. graph combine a b c d, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA16.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5,  stats(r2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA12.csv", replace
{txt}
{com}. 
. **Replicate Figure A17
. 
. xtmixed nicheness_previous c.l.pss##i.niche_party_previous vote_loss l.vote_share party_age lopposition i.decade || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4988.2388}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4987.9964}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-4987.9964}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}12{txt}){col 67}={col 70}{res}    80.81
{txt}Log likelihood = {res}-4987.9964{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         nicheness_previous{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}pss {c |}
{space 24}L1. {c |}{col 29}{res}{space 2} -.351109{col 41}{space 2}  .132106{col 52}{space 1}   -2.66{col 61}{space 3}0.008{col 69}{space 4} -.610032{col 82}{space 3} -.092186
{txt}{space 27} {c |}
{space 7}niche_party_previous {c |}
{space 20}NP t-1  {c |}{col 29}{res}{space 2} 2.161165{col 41}{space 2}  .372071{col 52}{space 1}    5.81{col 61}{space 3}0.000{col 69}{space 4} 1.431919{col 82}{space 3} 2.890411
{txt}{space 27} {c |}
niche_party_previous#cL.pss {c |}
{space 20}NP t-1  {c |}{col 29}{res}{space 2} .3518913{col 41}{space 2} .2920036{col 52}{space 1}    1.21{col 61}{space 3}0.228{col 69}{space 4}-.2204252{col 82}{space 3} .9242077
{txt}{space 27} {c |}
{space 18}vote_loss {c |}{col 29}{res}{space 2} .0157619{col 41}{space 2} .0323921{col 52}{space 1}    0.49{col 61}{space 3}0.627{col 69}{space 4}-.0477254{col 82}{space 3} .0792493
{txt}{space 27} {c |}
{space 17}vote_share {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-.0265772{col 41}{space 2} .0127029{col 52}{space 1}   -2.09{col 61}{space 3}0.036{col 69}{space 4}-.0514743{col 82}{space 3}  -.00168
{txt}{space 27} {c |}
{space 18}party_age {c |}{col 29}{res}{space 2}  -.01273{col 41}{space 2} .0048358{col 52}{space 1}   -2.63{col 61}{space 3}0.008{col 69}{space 4} -.022208{col 82}{space 3}-.0032519
{txt}{space 16}lopposition {c |}{col 29}{res}{space 2} .3490397{col 41}{space 2} .3096034{col 52}{space 1}    1.13{col 61}{space 3}0.260{col 69}{space 4}-.2577718{col 82}{space 3} .9558512
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 17}1960-1969  {c |}{col 29}{res}{space 2} .6423601{col 41}{space 2}  .543974{col 52}{space 1}    1.18{col 61}{space 3}0.238{col 69}{space 4}-.4238095{col 82}{space 3}  1.70853
{txt}{space 17}1970-1979  {c |}{col 29}{res}{space 2} 1.049069{col 41}{space 2} .5202721{col 52}{space 1}    2.02{col 61}{space 3}0.044{col 69}{space 4} .0293543{col 82}{space 3} 2.068784
{txt}{space 17}1980-1989  {c |}{col 29}{res}{space 2}  .763837{col 41}{space 2} .5124467{col 52}{space 1}    1.49{col 61}{space 3}0.136{col 69}{space 4}-.2405401{col 82}{space 3} 1.768214
{txt}{space 17}1990-1999  {c |}{col 29}{res}{space 2} .1884981{col 41}{space 2} .5355181{col 52}{space 1}    0.35{col 61}{space 3}0.725{col 69}{space 4} -.861098{col 82}{space 3} 1.238094
{txt}{space 14}2000 onwards  {c |}{col 29}{res}{space 2} .5205859{col 41}{space 2} .5182689{col 52}{space 1}    1.00{col 61}{space 3}0.315{col 69}{space 4}-.4952025{col 82}{space 3} 1.536374
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2} 2.993723{col 41}{space 2} .5512382{col 52}{space 1}    5.43{col 61}{space 3}0.000{col 69}{space 4} 1.913316{col 82}{space 3}  4.07413
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.275891{col 44} .5352097{col 58} .5607277{col 70} 2.903186
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 26.63798{col 44} 1.000301{col 58} 24.74784{col 70} 28.67248
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}9.63{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0010
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.351109{col 26}{space 2}  .132106{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4} -.610032{col 67}{space 3} -.092186
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0007823{col 26}{space 2}  .272908{col 37}{space 1}    0.00{col 46}{space 3}0.998{col 54}{space 4}-.5341075{col 67}{space 3} .5356721
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_previous c.l.pss##i.niche_party_previous##c.party_age  vote_loss l.vote_share lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4987.3064}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4987.0497}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-4987.0497}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    83.19
{txt}Log likelihood = {res}-4987.0497{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                     nicheness_previous{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      z{col 73}   P>|z|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.2926516{col 53}{space 2} .2025974{col 64}{space 1}   -1.44{col 73}{space 3}0.149{col 81}{space 4}-.6897351{col 94}{space 3}  .104432
{txt}{space 39} {c |}
{space 19}niche_party_previous {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} 1.842963{col 53}{space 2} .6097909{col 64}{space 1}    3.02{col 73}{space 3}0.003{col 81}{space 4}  .647795{col 94}{space 3} 3.038131
{txt}{space 39} {c |}
{space 12}niche_party_previous#cL.pss {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .6983789{col 53}{space 2}  .466798{col 64}{space 1}    1.50{col 73}{space 3}0.135{col 81}{space 4}-.2165284{col 94}{space 3} 1.613286
{txt}{space 39} {c |}
{space 30}party_age {c |}{col 41}{res}{space 2}-.0133693{col 53}{space 2} .0051878{col 64}{space 1}   -2.58{col 73}{space 3}0.010{col 81}{space 4}-.0235373{col 94}{space 3}-.0032014
{txt}{space 39} {c |}
{space 21}cL.pss#c.party_age {c |}{col 41}{res}{space 2}-.0015774{col 53}{space 2}  .003796{col 64}{space 1}   -0.42{col 73}{space 3}0.678{col 81}{space 4}-.0090175{col 94}{space 3} .0058627
{txt}{space 39} {c |}
{space 7}niche_party_previous#c.party_age {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}  .007347{col 53}{space 2} .0107372{col 64}{space 1}    0.68{col 73}{space 3}0.494{col 81}{space 4}-.0136975{col 94}{space 3} .0283916
{txt}{space 39} {c |}
niche_party_previous#cL.pss#c.party_age {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-.0103213{col 53}{space 2} .0104065{col 64}{space 1}   -0.99{col 73}{space 3}0.321{col 81}{space 4}-.0307177{col 94}{space 3}  .010075
{txt}{space 39} {c |}
{space 30}vote_loss {c |}{col 41}{res}{space 2}  .017678{col 53}{space 2}   .03241{col 64}{space 1}    0.55{col 73}{space 3}0.585{col 81}{space 4}-.0458444{col 94}{space 3} .0812005
{txt}{space 39} {c |}
{space 29}vote_share {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0272098{col 53}{space 2} .0126679{col 64}{space 1}   -2.15{col 73}{space 3}0.032{col 81}{space 4}-.0520385{col 94}{space 3}-.0023812
{txt}{space 39} {c |}
{space 28}lopposition {c |}{col 41}{res}{space 2} .3285938{col 53}{space 2} .3095512{col 64}{space 1}    1.06{col 73}{space 3}0.288{col 81}{space 4}-.2781154{col 94}{space 3}  .935303
{txt}{space 39} {c |}
{space 33}decade {c |}
{space 29}1960-1969  {c |}{col 41}{res}{space 2} .6370674{col 53}{space 2} .5437827{col 64}{space 1}    1.17{col 73}{space 3}0.241{col 81}{space 4}-.4287272{col 94}{space 3} 1.702862
{txt}{space 29}1970-1979  {c |}{col 41}{res}{space 2} 1.048353{col 53}{space 2} .5200469{col 64}{space 1}    2.02{col 73}{space 3}0.044{col 81}{space 4} .0290798{col 94}{space 3} 2.067626
{txt}{space 29}1980-1989  {c |}{col 41}{res}{space 2}  .739484{col 53}{space 2} .5123558{col 64}{space 1}    1.44{col 73}{space 3}0.149{col 81}{space 4}-.2647149{col 94}{space 3} 1.743683
{txt}{space 29}1990-1999  {c |}{col 41}{res}{space 2} .2086084{col 53}{space 2} .5356175{col 64}{space 1}    0.39{col 73}{space 3}0.697{col 81}{space 4}-.8411826{col 94}{space 3} 1.258399
{txt}{space 26}2000 onwards  {c |}{col 41}{res}{space 2} .5449048{col 53}{space 2} .5186592{col 64}{space 1}    1.05{col 73}{space 3}0.293{col 81}{space 4}-.4716486{col 94}{space 3} 1.561458
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 3.046409{col 53}{space 2} .5601838{col 64}{space 1}    5.44{col 73}{space 3}0.000{col 81}{space 4} 1.948469{col 94}{space 3} 4.144349
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.247806{col 44} .5328626{col 58} .5403186{col 70} 2.881667
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 26.62452{col 44} 1.000167{col 58} 24.73466{col 70} 28.65878
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}9.19{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0012
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) party_age=(1 25 50 75)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.294229{col 26}{space 2} .1997318{col 37}{space 1}   -1.47{col 46}{space 3}0.141{col 54}{space 4}-.6856961{col 67}{space 3}  .097238
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.3320876{col 26}{space 2} .1444596{col 37}{space 1}   -2.30{col 46}{space 3}0.022{col 54}{space 4}-.6152233{col 67}{space 3} -.048952
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3715237{col 26}{space 2} .1367619{col 37}{space 1}   -2.72{col 46}{space 3}0.007{col 54}{space 4}-.6395721{col 67}{space 3}-.1034753
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4109597{col 26}{space 2} .1858801{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.7752781{col 67}{space 3}-.0466414
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3938286{col 26}{space 2} .4234001{col 37}{space 1}    0.93{col 46}{space 3}0.352{col 54}{space 4}-.4360203{col 67}{space 3} 1.223677
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1082576{col 26}{space 2} .2861364{col 37}{space 1}    0.38{col 46}{space 3}0.705{col 54}{space 4}-.4525595{col 67}{space 3} .6690747
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1892121{col 26}{space 2} .3161183{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4}-.8087927{col 67}{space 3} .4303684
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.4866818{col 26}{space 2} .4898315{col 37}{space 1}   -0.99{col 46}{space 3}0.320{col 54}{space 4}-1.446734{col 67}{space 3} .4733702
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "party_age=1" 6 "party_age=25" 7 "party_age=50" 8 "party_age=75")) ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous party_age{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_previous c.l.pss##i.niche_party_previous##c.leaderdom  vote_loss l.vote_share party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3634.2119}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -3634.187}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -3634.187}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,178
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       104

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      11.3
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}16{txt}){col 67}={col 70}{res}    62.31
{txt}Log likelihood = {res} -3634.187{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                     nicheness_previous{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      z{col 73}   P>|z|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.6150163{col 53}{space 2} .4661733{col 64}{space 1}   -1.32{col 73}{space 3}0.187{col 81}{space 4}-1.528699{col 94}{space 3} .2986667
{txt}{space 39} {c |}
{space 19}niche_party_previous {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-2.906466{col 53}{space 2} 1.808728{col 64}{space 1}   -1.61{col 73}{space 3}0.108{col 81}{space 4}-6.451508{col 94}{space 3} .6385765
{txt}{space 39} {c |}
{space 12}niche_party_previous#cL.pss {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} 1.312933{col 53}{space 2} 1.337021{col 64}{space 1}    0.98{col 73}{space 3}0.326{col 81}{space 4}-1.307579{col 94}{space 3} 3.933445
{txt}{space 39} {c |}
{space 30}leaderdom {c |}{col 41}{res}{space 2}-.0780948{col 53}{space 2} .0473962{col 64}{space 1}   -1.65{col 73}{space 3}0.099{col 81}{space 4}-.1709896{col 94}{space 3}    .0148
{txt}{space 39} {c |}
{space 21}cL.pss#c.leaderdom {c |}{col 41}{res}{space 2} .0136963{col 53}{space 2} .0232363{col 64}{space 1}    0.59{col 73}{space 3}0.556{col 81}{space 4} -.031846{col 94}{space 3} .0592386
{txt}{space 39} {c |}
{space 7}niche_party_previous#c.leaderdom {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .2779586{col 53}{space 2} .0966941{col 64}{space 1}    2.87{col 73}{space 3}0.004{col 81}{space 4} .0884416{col 94}{space 3} .4674755
{txt}{space 39} {c |}
niche_party_previous#cL.pss#c.leaderdom {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-.0737381{col 53}{space 2} .0637827{col 64}{space 1}   -1.16{col 73}{space 3}0.248{col 81}{space 4}-.1987499{col 94}{space 3} .0512738
{txt}{space 39} {c |}
{space 30}vote_loss {c |}{col 41}{res}{space 2}  .011147{col 53}{space 2} .0367254{col 64}{space 1}    0.30{col 73}{space 3}0.761{col 81}{space 4}-.0608335{col 94}{space 3} .0831274
{txt}{space 39} {c |}
{space 29}vote_share {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0242955{col 53}{space 2}  .015678{col 64}{space 1}   -1.55{col 73}{space 3}0.121{col 81}{space 4}-.0550237{col 94}{space 3} .0064328
{txt}{space 39} {c |}
{space 30}party_age {c |}{col 41}{res}{space 2}-.0144593{col 53}{space 2} .0061513{col 64}{space 1}   -2.35{col 73}{space 3}0.019{col 81}{space 4}-.0265157{col 94}{space 3} -.002403
{txt}{space 28}lopposition {c |}{col 41}{res}{space 2} .3502889{col 53}{space 2} .3496167{col 64}{space 1}    1.00{col 73}{space 3}0.316{col 81}{space 4}-.3349472{col 94}{space 3} 1.035525
{txt}{space 39} {c |}
{space 33}decade {c |}
{space 29}1960-1969  {c |}{col 41}{res}{space 2} .4142047{col 53}{space 2} .6494558{col 64}{space 1}    0.64{col 73}{space 3}0.524{col 81}{space 4}-.8587053{col 94}{space 3} 1.687115
{txt}{space 29}1970-1979  {c |}{col 41}{res}{space 2} .8608403{col 53}{space 2} .6120974{col 64}{space 1}    1.41{col 73}{space 3}0.160{col 81}{space 4}-.3388486{col 94}{space 3} 2.060529
{txt}{space 29}1980-1989  {c |}{col 41}{res}{space 2} .9570996{col 53}{space 2} .6031261{col 64}{space 1}    1.59{col 73}{space 3}0.113{col 81}{space 4}-.2250059{col 94}{space 3} 2.139205
{txt}{space 29}1990-1999  {c |}{col 41}{res}{space 2}-.1273996{col 53}{space 2} .6388067{col 64}{space 1}   -0.20{col 73}{space 3}0.842{col 81}{space 4}-1.379438{col 94}{space 3} 1.124639
{txt}{space 26}2000 onwards  {c |}{col 41}{res}{space 2} .6526828{col 53}{space 2} .6469605{col 64}{space 1}    1.01{col 73}{space 3}0.313{col 81}{space 4}-.6153365{col 94}{space 3} 1.920702
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 4.594019{col 53}{space 2} 1.049421{col 64}{space 1}    4.38{col 73}{space 3}0.000{col 81}{space 4} 2.537192{col 94}{space 3} 6.650846
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.391848{col 44}  .618899{col 58} .5822329{col 70} 3.327262
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 26.93158{col 44} 1.170765{col 58} 24.73197{col 70} 29.32683
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}8.83{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0015
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) leaderdom=(0 10 20 30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,178

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.6150163{col 26}{space 2} .4661733{col 37}{space 1}   -1.32{col 46}{space 3}0.187{col 54}{space 4}-1.528699{col 67}{space 3} .2986667
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4780528{col 26}{space 2} .2601068{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-.9878527{col 67}{space 3} .0317471
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.3410894{col 26}{space 2} .1611786{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.6569937{col 67}{space 3}-.0251851
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.204126{col 26}{space 2} .3037872{col 37}{space 1}   -0.67{col 46}{space 3}0.502{col 54}{space 4}-.7995379{col 67}{space 3}  .391286
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .6979164{col 26}{space 2} 1.286103{col 37}{space 1}    0.54{col 46}{space 3}0.587{col 54}{space 4}  -1.8228{col 67}{space 3} 3.218632
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0974992{col 26}{space 2} .7199841{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-1.313644{col 67}{space 3} 1.508642
{txt}{space 10}7  {c |}{col 14}{res}{space 2} -.502918{col 26}{space 2} .3595761{col 37}{space 1}   -1.40{col 46}{space 3}0.162{col 54}{space 4}-1.207674{col 67}{space 3} .2018382
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.103335{col 26}{space 2} .6977214{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4}-2.470844{col 67}{space 3} .2641738
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Lead. dom.=0" 6 "Lead. dom.=10" 7 "Lead. dom.=20" 8 "Lead. dom.=30")) ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous leaderdom{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_previous c.l.pss##i.niche_party_previous##c.l.vote_share  vote_loss party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4987.5411}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4987.2571}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-4987.2571}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    83.54
{txt}Log likelihood = {res}-4987.2571{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 42}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       nicheness_previous{col 43}{c |}      Coef.{col 55}   Std. Err.{col 67}      z{col 75}   P>|z|{col 83}     [95% Con{col 96}f. Interval]
{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 38}pss {c |}
{space 38}L1. {c |}{col 43}{res}{space 2}-.2234022{col 55}{space 2} .1971836{col 66}{space 1}   -1.13{col 75}{space 3}0.257{col 83}{space 4} -.609875{col 96}{space 3} .1630705
{txt}{space 41} {c |}
{space 21}niche_party_previous {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2} 2.269445{col 55}{space 2} .5310918{col 66}{space 1}    4.27{col 75}{space 3}0.000{col 83}{space 4} 1.228524{col 96}{space 3} 3.310365
{txt}{space 41} {c |}
{space 14}niche_party_previous#cL.pss {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2} .4488141{col 55}{space 2}  .408866{col 66}{space 1}    1.10{col 75}{space 3}0.272{col 83}{space 4}-.3525484{col 96}{space 3} 1.250177
{txt}{space 41} {c |}
{space 31}vote_share {c |}
{space 38}L1. {c |}{col 43}{res}{space 2}-.0300284{col 55}{space 2} .0139692{col 66}{space 1}   -2.15{col 75}{space 3}0.032{col 83}{space 4}-.0574075{col 96}{space 3}-.0026494
{txt}{space 41} {c |}
{space 21}cL.pss#cL.vote_share {c |}{col 43}{res}{space 2}-.0094419{col 55}{space 2} .0107464{col 66}{space 1}   -0.88{col 75}{space 3}0.380{col 83}{space 4}-.0305044{col 96}{space 3} .0116206
{txt}{space 41} {c |}
{space 7}niche_party_previous#cL.vote_share {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2}-.0097122{col 55}{space 2}  .028938{col 66}{space 1}   -0.34{col 75}{space 3}0.737{col 83}{space 4}-.0664297{col 96}{space 3} .0470053
{txt}{space 41} {c |}
niche_party_previous#cL.pss#cL.vote_share {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2}-.0168301{col 55}{space 2} .0307944{col 66}{space 1}   -0.55{col 75}{space 3}0.585{col 83}{space 4}-.0771859{col 96}{space 3} .0435258
{txt}{space 41} {c |}
{space 32}vote_loss {c |}{col 43}{res}{space 2} .0181539{col 55}{space 2} .0324626{col 66}{space 1}    0.56{col 75}{space 3}0.576{col 83}{space 4}-.0454716{col 96}{space 3} .0817794
{txt}{space 32}party_age {c |}{col 43}{res}{space 2}-.0118929{col 55}{space 2} .0048546{col 66}{space 1}   -2.45{col 75}{space 3}0.014{col 83}{space 4}-.0214078{col 96}{space 3}-.0023781
{txt}{space 30}lopposition {c |}{col 43}{res}{space 2} .3332715{col 55}{space 2} .3091119{col 66}{space 1}    1.08{col 75}{space 3}0.281{col 83}{space 4}-.2725767{col 96}{space 3} .9391198
{txt}{space 41} {c |}
{space 35}decade {c |}
{space 31}1960-1969  {c |}{col 43}{res}{space 2} .6564371{col 55}{space 2} .5457314{col 66}{space 1}    1.20{col 75}{space 3}0.229{col 83}{space 4}-.4131767{col 96}{space 3} 1.726051
{txt}{space 31}1970-1979  {c |}{col 43}{res}{space 2} 1.042144{col 55}{space 2} .5211467{col 66}{space 1}    2.00{col 75}{space 3}0.046{col 83}{space 4} .0207156{col 96}{space 3} 2.063573
{txt}{space 31}1980-1989  {c |}{col 43}{res}{space 2}  .751544{col 55}{space 2} .5124232{col 66}{space 1}    1.47{col 75}{space 3}0.142{col 83}{space 4}-.2527871{col 96}{space 3} 1.755875
{txt}{space 31}1990-1999  {c |}{col 43}{res}{space 2} .1704183{col 55}{space 2} .5376464{col 66}{space 1}    0.32{col 75}{space 3}0.751{col 83}{space 4}-.8833493{col 96}{space 3} 1.224186
{txt}{space 28}2000 onwards  {c |}{col 43}{res}{space 2} .5279005{col 55}{space 2} .5189868{col 66}{space 1}    1.02{col 75}{space 3}0.309{col 83}{space 4}-.4892949{col 96}{space 3} 1.545096
{txt}{space 41} {c |}
{space 36}_cons {c |}{col 43}{res}{space 2} 2.982285{col 55}{space 2} .5535051{col 66}{space 1}    5.39{col 75}{space 3}0.000{col 83}{space 4} 1.897434{col 96}{space 3} 4.067135
{txt}{hline 42}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.197432{col 44}  .526816{col 58} .5055456{col 70} 2.836228
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 26.66534{col 44} 1.001733{col 58} 24.77252{col 70} 28.70279
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}8.46{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0018
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) L.vote_share=(0 10 30 50)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2234022{col 26}{space 2} .1971836{col 37}{space 1}   -1.13{col 46}{space 3}0.257{col 54}{space 4} -.609875{col 67}{space 3} .1630705
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.3178215{col 26}{space 2}  .138172{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4}-.5886336{col 67}{space 3}-.0470094
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5066599{col 26}{space 2} .2209129{col 37}{space 1}   -2.29{col 46}{space 3}0.022{col 54}{space 4}-.9396413{col 67}{space 3}-.0736786
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.6954984{col 26}{space 2}  .413402{col 37}{space 1}   -1.68{col 46}{space 3}0.092{col 54}{space 4}-1.505751{col 67}{space 3} .1147546
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2254119{col 26}{space 2} .3707898{col 37}{space 1}    0.61{col 46}{space 3}0.543{col 54}{space 4}-.5013228{col 67}{space 3} .9521466
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0373081{col 26}{space 2} .2791384{col 37}{space 1}   -0.13{col 46}{space 3}0.894{col 54}{space 4}-.5844092{col 67}{space 3}  .509793
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.5627482{col 26}{space 2} .6915895{col 37}{space 1}   -0.81{col 46}{space 3}0.416{col 54}{space 4}-1.918239{col 67}{space 3} .7927424
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-1.088188{col 26}{space 2} 1.253537{col 37}{space 1}   -0.87{col 46}{space 3}0.385{col 54}{space 4}-3.545076{col 67}{space 3}   1.3687
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Size t-1=0" 6 "Size t-1=10" 7 "Size t-1=30" 8 "Size t-1=50")) ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous L.vote_share{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness_previous c.l.pss##i.niche_party_previous##i.lopposition vote_loss party_age l.vote_share i.decade || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4987.6544}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4987.4134}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-4987.4134}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    82.16
{txt}Log likelihood = {res}-4987.4134{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                     nicheness_previous{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      z{col 73}   P>|z|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.3624529{col 53}{space 2} .1874803{col 64}{space 1}   -1.93{col 73}{space 3}0.053{col 81}{space 4}-.7299076{col 94}{space 3} .0050017
{txt}{space 39} {c |}
{space 19}niche_party_previous {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} 1.612587{col 53}{space 2} .6312367{col 64}{space 1}    2.55{col 73}{space 3}0.011{col 81}{space 4} .3753856{col 94}{space 3} 2.849788
{txt}{space 39} {c |}
{space 12}niche_party_previous#cL.pss {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .3353346{col 53}{space 2} .6606619{col 64}{space 1}    0.51{col 73}{space 3}0.612{col 81}{space 4}-.9595389{col 94}{space 3} 1.630208
{txt}{space 39} {c |}
{space 28}lopposition {c |}
{space 24}Opposition t-1  {c |}{col 41}{res}{space 2} .2247196{col 53}{space 2} .3370987{col 64}{space 1}    0.67{col 73}{space 3}0.505{col 81}{space 4}-.4359817{col 94}{space 3} .8854208
{txt}{space 39} {c |}
{space 21}lopposition#cL.pss {c |}
{space 24}Opposition t-1  {c |}{col 41}{res}{space 2} .0221148{col 53}{space 2} .2331799{col 64}{space 1}    0.09{col 73}{space 3}0.924{col 81}{space 4}-.4349093{col 94}{space 3}  .479139
{txt}{space 39} {c |}
{space 7}niche_party_previous#lopposition {c |}
{space 17}NP t-1#Opposition t-1  {c |}{col 41}{res}{space 2} .8310981{col 53}{space 2} .7696432{col 64}{space 1}    1.08{col 73}{space 3}0.280{col 81}{space 4}-.6773748{col 94}{space 3} 2.339571
{txt}{space 39} {c |}
niche_party_previous#lopposition#cL.pss {c |}
{space 17}NP t-1#Opposition t-1  {c |}{col 41}{res}{space 2}-.0167296{col 53}{space 2} .7397158{col 64}{space 1}   -0.02{col 73}{space 3}0.982{col 81}{space 4}-1.466546{col 94}{space 3} 1.433087
{txt}{space 39} {c |}
{space 30}vote_loss {c |}{col 41}{res}{space 2} .0165694{col 53}{space 2} .0324455{col 64}{space 1}    0.51{col 73}{space 3}0.610{col 81}{space 4}-.0470226{col 94}{space 3} .0801614
{txt}{space 30}party_age {c |}{col 41}{res}{space 2}-.0126579{col 53}{space 2} .0048355{col 64}{space 1}   -2.62{col 73}{space 3}0.009{col 81}{space 4}-.0221352{col 94}{space 3}-.0031806
{txt}{space 39} {c |}
{space 29}vote_share {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0263551{col 53}{space 2} .0128148{col 64}{space 1}   -2.06{col 73}{space 3}0.040{col 81}{space 4}-.0514716{col 94}{space 3}-.0012386
{txt}{space 39} {c |}
{space 33}decade {c |}
{space 29}1960-1969  {c |}{col 41}{res}{space 2}  .616948{col 53}{space 2} .5447672{col 64}{space 1}    1.13{col 73}{space 3}0.257{col 81}{space 4}-.4507761{col 94}{space 3} 1.684672
{txt}{space 29}1970-1979  {c |}{col 41}{res}{space 2} 1.025096{col 53}{space 2} .5206452{col 64}{space 1}    1.97{col 73}{space 3}0.049{col 81}{space 4} .0046498{col 94}{space 3} 2.045542
{txt}{space 29}1980-1989  {c |}{col 41}{res}{space 2} .7428789{col 53}{space 2}  .512929{col 64}{space 1}    1.45{col 73}{space 3}0.148{col 81}{space 4}-.2624434{col 94}{space 3} 1.748201
{txt}{space 29}1990-1999  {c |}{col 41}{res}{space 2} .1495888{col 53}{space 2} .5369601{col 64}{space 1}    0.28{col 73}{space 3}0.781{col 81}{space 4}-.9028337{col 94}{space 3} 1.202011
{txt}{space 26}2000 onwards  {c |}{col 41}{res}{space 2} .4802517{col 53}{space 2} .5202602{col 64}{space 1}    0.92{col 73}{space 3}0.356{col 81}{space 4}-.5394395{col 94}{space 3} 1.499943
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 3.082089{col 53}{space 2} .5615886{col 64}{space 1}    5.49{col 73}{space 3}0.000{col 81}{space 4} 1.981396{col 94}{space 3} 4.182782
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.266464{col 44} .5301458{col 58} .5575412{col 70} 2.876792
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 26.62445{col 44} .9989442{col 58} 24.73681{col 70} 28.65613
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}9.67{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0009
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3624529{col 26}{space 2} .1874803{col 37}{space 1}   -1.93{col 46}{space 3}0.053{col 54}{space 4}-.7299076{col 67}{space 3} .0050017
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.3403381{col 26}{space 2}  .165827{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4} -.665353{col 67}{space 3}-.0153231
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0271184{col 26}{space 2} .6473186{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4} -1.29584{col 67}{space 3} 1.241603
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0217331{col 26}{space 2} .2994701{col 37}{space 1}   -0.07{col 46}{space 3}0.942{col 54}{space 4}-.6086837{col 67}{space 3} .5652176
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13)) ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(3 "Government t-1" 4 "Opposition t-1")) ///
> graphregion(fcolor(white)) name(e, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d e, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA17.wmf", replace
{txt}
{com}. 
. **Replicate Figure A18
. 
. xtmelogit inalliance c.l.pss##c.l.lr_extremity l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties  party_age  if linalliance==0  || ccode:, var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-180.56122}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-175.24137}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-175.07511}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-175.07511}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-175.07386}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-175.07386}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,888
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        12
{txt}{col 63}avg{col 67}={col 69}{res}      89.9
{txt}{col 63}max{col 67}={col 69}{res}       209

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    37.51
{txt}Log likelihood = {res}-175.07386{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            inalliance{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}pss {c |}
{space 19}L1. {c |}{col 24}{res}{space 2}  .545546{col 36}{space 2} .1618978{col 47}{space 1}    3.37{col 56}{space 3}0.001{col 64}{space 4} .2282322{col 77}{space 3} .8628598
{txt}{space 22} {c |}
{space 10}lr_extremity {c |}
{space 19}L1. {c |}{col 24}{res}{space 2}-.0358368{col 36}{space 2} .0808306{col 47}{space 1}   -0.44{col 56}{space 3}0.658{col 64}{space 4}-.1942618{col 77}{space 3} .1225882
{txt}{space 22} {c |}
cL.pss#cL.lr_extremity {c |}{col 24}{res}{space 2}-.0777707{col 36}{space 2} .0436677{col 47}{space 1}   -1.78{col 56}{space 3}0.075{col 64}{space 4}-.1633578{col 77}{space 3} .0078164
{txt}{space 22} {c |}
{space 12}vote_share {c |}
{space 19}L1. {c |}{col 24}{res}{space 2}-.0253077{col 36}{space 2} .0218031{col 47}{space 1}   -1.16{col 56}{space 3}0.246{col 64}{space 4}-.0680409{col 77}{space 3} .0174255
{txt}{space 22} {c |}
{space 12}advantager {c |}
{space 19}L1. {c |}{col 24}{res}{space 2}-.9645521{col 36}{space 2} .7417066{col 47}{space 1}   -1.30{col 56}{space 3}0.193{col 64}{space 4} -2.41827{col 77}{space 3} .4891662
{txt}{space 22} {c |}
{space 14}norepres {c |}{col 24}{res}{space 2} .7827322{col 36}{space 2} .7835065{col 47}{space 1}    1.00{col 56}{space 3}0.318{col 64}{space 4}-.7529123{col 77}{space 3} 2.318377
{txt}{space 11}lopposition {c |}{col 24}{res}{space 2}-.2480222{col 36}{space 2} .5696602{col 47}{space 1}   -0.44{col 56}{space 3}0.663{col 64}{space 4}-1.364536{col 77}{space 3} .8684912
{txt}{space 22} {c |}
{space 12}office_exp {c |}
{space 19}L1. {c |}{col 24}{res}{space 2}-.7309027{col 36}{space 2} .7630861{col 47}{space 1}   -0.96{col 56}{space 3}0.338{col 64}{space 4}-2.226524{col 77}{space 3} .7647187
{txt}{space 22} {c |}
{space 10}alliance_exp {c |}
{space 19}L1. {c |}{col 24}{res}{space 2}  .547653{col 36}{space 2} 1.520823{col 47}{space 1}    0.36{col 56}{space 3}0.719{col 64}{space 4}-2.433106{col 77}{space 3} 3.528412
{txt}{space 22} {c |}
{space 8}totparlparties {c |}
{space 19}L1. {c |}{col 24}{res}{space 2} .0948397{col 36}{space 2} .0856414{col 47}{space 1}    1.11{col 56}{space 3}0.268{col 64}{space 4}-.0730144{col 77}{space 3} .2626939
{txt}{space 22} {c |}
{space 13}party_age {c |}{col 24}{res}{space 2} .0033726{col 36}{space 2} .0060765{col 47}{space 1}    0.56{col 56}{space 3}0.579{col 64}{space 4}-.0085371{col 77}{space 3} .0152822
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-4.058015{col 36}{space 2} 1.167398{col 47}{space 1}   -3.48{col 56}{space 3}0.001{col 64}{space 4}-6.346074{col 77}{space 3}-1.769956
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.854933{col 44} 1.035489{col 58} .6210944{col 70} 5.539861
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}32.31{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(l.lr_extremity=(0(0.1)22)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,888

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
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{txt}{space 10}8  {c |}{col 14}{res}{space 2} .4911065{col 26}{space 2} .1474958{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4}   .20202{col 67}{space 3}  .780193
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{txt}{space 9}16  {c |}{col 14}{res}{space 2} .4288899{col 26}{space 2}  .137662{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .1590773{col 67}{space 3} .6987025
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. gen xyz=1 if e(sample)==1
{txt}(2,305 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 22 221
{txt}(3,972 missing values generated)

{com}. 
. gen llr_extremity=l.lr_extremity
{txt}(1,632 missing values generated)

{com}. twoway hist llr_extremity if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Left-right extremity t-1" "Coefficient on interaction term is -.078 (se=.044)",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off) title(Van de Wardt (2017): Model 2)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss_mod3##c.l.lr_extremity l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties party_age  if linalliance==0  || ccode:, var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-73.969835}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.679683}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-63.748957}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-63.748957}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-63.631664}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -63.63096}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res: -63.63096}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       836
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         5
{txt}{col 63}avg{col 67}={col 69}{res}      41.8
{txt}{col 63}max{col 67}={col 69}{res}       125

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    22.52
{txt}Log likelihood = {res} -63.63096{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0207

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 inalliance{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}pss_mod3 {c |}
{space 24}L1. {c |}{col 29}{res}{space 2} 1.925666{col 41}{space 2} .5124719{col 52}{space 1}    3.76{col 61}{space 3}0.000{col 69}{space 4}  .921239{col 82}{space 3} 2.930092
{txt}{space 27} {c |}
{space 15}lr_extremity {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-.0144916{col 41}{space 2} .1796833{col 52}{space 1}   -0.08{col 61}{space 3}0.936{col 69}{space 4}-.3666644{col 82}{space 3} .3376812
{txt}{space 27} {c |}
cL.pss_mod3#cL.lr_extremity {c |}{col 29}{res}{space 2}-.0846562{col 41}{space 2} .1014716{col 52}{space 1}   -0.83{col 61}{space 3}0.404{col 69}{space 4}-.2835368{col 82}{space 3} .1142245
{txt}{space 27} {c |}
{space 17}vote_share {c |}
{space 24}L1. {c |}{col 29}{res}{space 2} -.037444{col 41}{space 2} .0458637{col 52}{space 1}   -0.82{col 61}{space 3}0.414{col 69}{space 4}-.1273352{col 82}{space 3} .0524473
{txt}{space 27} {c |}
{space 17}advantager {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-4.011589{col 41}{space 2} 1.500375{col 52}{space 1}   -2.67{col 61}{space 3}0.008{col 69}{space 4}-6.952269{col 82}{space 3}-1.070908
{txt}{space 27} {c |}
{space 19}norepres {c |}{col 29}{res}{space 2}-2.448209{col 41}{space 2} 1.440739{col 52}{space 1}   -1.70{col 61}{space 3}0.089{col 69}{space 4}-5.272006{col 82}{space 3} .3755885
{txt}{space 16}lopposition {c |}{col 29}{res}{space 2}  1.36486{col 41}{space 2}   1.1124{col 52}{space 1}    1.23{col 61}{space 3}0.220{col 69}{space 4}-.8154048{col 82}{space 3} 3.545124
{txt}{space 27} {c |}
{space 17}office_exp {c |}
{space 24}L1. {c |}{col 29}{res}{space 2} .9415103{col 41}{space 2} 1.346915{col 52}{space 1}    0.70{col 61}{space 3}0.485{col 69}{space 4}-1.698395{col 82}{space 3} 3.581416
{txt}{space 27} {c |}
{space 15}alliance_exp {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-10.06227{col 41}{space 2} 4.659311{col 52}{space 1}   -2.16{col 61}{space 3}0.031{col 69}{space 4}-19.19435{col 82}{space 3}-.9301891
{txt}{space 27} {c |}
{space 13}totparlparties {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-.1882612{col 41}{space 2} .1730899{col 52}{space 1}   -1.09{col 61}{space 3}0.277{col 69}{space 4}-.5275111{col 82}{space 3} .1509887
{txt}{space 27} {c |}
{space 18}party_age {c |}{col 29}{res}{space 2} .0098654{col 41}{space 2} .0111608{col 52}{space 1}    0.88{col 61}{space 3}0.377{col 69}{space 4}-.0120093{col 82}{space 3} .0317401
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-2.920454{col 41}{space 2} 2.449606{col 52}{space 1}   -1.19{col 61}{space 3}0.233{col 69}{space 4}-7.721593{col 82}{space 3} 1.880685
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.548024{col 44} 6.473811{col 58} 2.527997{col 70} 36.06205
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}42.52{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(l.lr_extremity=(0(0.1)22)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       836

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}2.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}3.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}3.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}3.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}3.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}3.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}3.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}3.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}3.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}3.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}4.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}4.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}4.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}4.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}4.5}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}4.6}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}4.7}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}4.8}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}4.9}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}5}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}5.1}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}5.2}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}5.3}{p_end}
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{p2col:55._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}5.4}{p_end}
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{p2col:56._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}5.5}{p_end}
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{p2col:57._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}5.6}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}5.7}{p_end}
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{p2col:59._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}5.8}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}5.9}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}6}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:62._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}6.1}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:63._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}6.2}{p_end}
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{p2col:64._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}6.3}{p_end}
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{p2colreset}{...}

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{p2colreset}{...}

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{p2colreset}{...}

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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
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{txt}{space 8}189  {c |}{col 14}{res}{space 2} .3341298{col 26}{space 2} 1.738715{col 37}{space 1}    0.19{col 46}{space 3}0.848{col 54}{space 4}-3.073689{col 67}{space 3} 3.741949
{txt}{space 8}190  {c |}{col 14}{res}{space 2} .3256641{col 26}{space 2} 1.748506{col 37}{space 1}    0.19{col 46}{space 3}0.852{col 54}{space 4}-3.101345{col 67}{space 3} 3.752673
{txt}{space 8}191  {c |}{col 14}{res}{space 2} .3171985{col 26}{space 2} 1.758301{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-3.129009{col 67}{space 3} 3.763406
{txt}{space 8}192  {c |}{col 14}{res}{space 2} .3087328{col 26}{space 2} 1.768101{col 37}{space 1}    0.17{col 46}{space 3}0.861{col 54}{space 4}-3.156681{col 67}{space 3} 3.774146
{txt}{space 8}193  {c |}{col 14}{res}{space 2} .3002672{col 26}{space 2} 1.777904{col 37}{space 1}    0.17{col 46}{space 3}0.866{col 54}{space 4} -3.18436{col 67}{space 3} 3.784894
{txt}{space 8}194  {c |}{col 14}{res}{space 2} .2918017{col 26}{space 2}  1.78771{col 37}{space 1}    0.16{col 46}{space 3}0.870{col 54}{space 4}-3.212046{col 67}{space 3}  3.79565
{txt}{space 8}195  {c |}{col 14}{res}{space 2} .2833361{col 26}{space 2} 1.797521{col 37}{space 1}    0.16{col 46}{space 3}0.875{col 54}{space 4}-3.239741{col 67}{space 3} 3.806413
{txt}{space 8}196  {c |}{col 14}{res}{space 2} .2748704{col 26}{space 2} 1.807336{col 37}{space 1}    0.15{col 46}{space 3}0.879{col 54}{space 4}-3.267442{col 67}{space 3} 3.817183
{txt}{space 8}197  {c |}{col 14}{res}{space 2} .2664048{col 26}{space 2} 1.817154{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-3.295151{col 67}{space 3}  3.82796
{txt}{space 8}198  {c |}{col 14}{res}{space 2} .2579391{col 26}{space 2} 1.826975{col 37}{space 1}    0.14{col 46}{space 3}0.888{col 54}{space 4}-3.322867{col 67}{space 3} 3.838745
{txt}{space 8}199  {c |}{col 14}{res}{space 2} .2494736{col 26}{space 2}   1.8368{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-3.350589{col 67}{space 3} 3.849536
{txt}{space 8}200  {c |}{col 14}{res}{space 2}  .241008{col 26}{space 2} 1.846629{col 37}{space 1}    0.13{col 46}{space 3}0.896{col 54}{space 4}-3.378318{col 67}{space 3} 3.860334
{txt}{space 8}201  {c |}{col 14}{res}{space 2} .2325423{col 26}{space 2} 1.856461{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-3.406055{col 67}{space 3} 3.871139
{txt}{space 8}202  {c |}{col 14}{res}{space 2} .2240767{col 26}{space 2} 1.866297{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-3.433798{col 67}{space 3} 3.881951
{txt}{space 8}203  {c |}{col 14}{res}{space 2}  .215611{col 26}{space 2} 1.876135{col 37}{space 1}    0.11{col 46}{space 3}0.909{col 54}{space 4}-3.461547{col 67}{space 3} 3.892769
{txt}{space 8}204  {c |}{col 14}{res}{space 2} .2071456{col 26}{space 2} 1.885977{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-3.489302{col 67}{space 3} 3.903593
{txt}{space 8}205  {c |}{col 14}{res}{space 2} .1986799{col 26}{space 2} 1.895823{col 37}{space 1}    0.10{col 46}{space 3}0.917{col 54}{space 4}-3.517064{col 67}{space 3} 3.914424
{txt}{space 8}206  {c |}{col 14}{res}{space 2} .1902143{col 26}{space 2} 1.905671{col 37}{space 1}    0.10{col 46}{space 3}0.920{col 54}{space 4}-3.544833{col 67}{space 3} 3.925261
{txt}{space 8}207  {c |}{col 14}{res}{space 2} .1817486{col 26}{space 2} 1.915523{col 37}{space 1}    0.09{col 46}{space 3}0.924{col 54}{space 4}-3.572607{col 67}{space 3} 3.936104
{txt}{space 8}208  {c |}{col 14}{res}{space 2}  .173283{col 26}{space 2} 1.925377{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-3.600387{col 67}{space 3} 3.946953
{txt}{space 8}209  {c |}{col 14}{res}{space 2} .1648175{col 26}{space 2} 1.935235{col 37}{space 1}    0.09{col 46}{space 3}0.932{col 54}{space 4}-3.628173{col 67}{space 3} 3.957808
{txt}{space 8}210  {c |}{col 14}{res}{space 2} .1563518{col 26}{space 2} 1.945096{col 37}{space 1}    0.08{col 46}{space 3}0.936{col 54}{space 4}-3.655965{col 67}{space 3} 3.968669
{txt}{space 8}211  {c |}{col 14}{res}{space 2} .1478862{col 26}{space 2} 1.954959{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-3.683763{col 67}{space 3} 3.979536
{txt}{space 8}212  {c |}{col 14}{res}{space 2} .1394205{col 26}{space 2} 1.964826{col 37}{space 1}    0.07{col 46}{space 3}0.943{col 54}{space 4}-3.711567{col 67}{space 3} 3.990408
{txt}{space 8}213  {c |}{col 14}{res}{space 2} .1309549{col 26}{space 2} 1.974695{col 37}{space 1}    0.07{col 46}{space 3}0.947{col 54}{space 4}-3.739376{col 67}{space 3} 4.001286
{txt}{space 8}214  {c |}{col 14}{res}{space 2} .1224894{col 26}{space 2} 1.984567{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4} -3.76719{col 67}{space 3} 4.012169
{txt}{space 8}215  {c |}{col 14}{res}{space 2} .1140237{col 26}{space 2} 1.994442{col 37}{space 1}    0.06{col 46}{space 3}0.954{col 54}{space 4} -3.79501{col 67}{space 3} 4.023058
{txt}{space 8}216  {c |}{col 14}{res}{space 2} .1055581{col 26}{space 2} 2.004319{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-3.822836{col 67}{space 3} 4.033952
{txt}{space 8}217  {c |}{col 14}{res}{space 2} .0970924{col 26}{space 2}   2.0142{col 37}{space 1}    0.05{col 46}{space 3}0.962{col 54}{space 4}-3.850666{col 67}{space 3} 4.044851
{txt}{space 8}218  {c |}{col 14}{res}{space 2} .0886268{col 26}{space 2} 2.024083{col 37}{space 1}    0.04{col 46}{space 3}0.965{col 54}{space 4}-3.878502{col 67}{space 3} 4.055756
{txt}{space 8}219  {c |}{col 14}{res}{space 2} .0801613{col 26}{space 2} 2.033968{col 37}{space 1}    0.04{col 46}{space 3}0.969{col 54}{space 4}-3.906343{col 67}{space 3} 4.066665
{txt}{space 8}220  {c |}{col 14}{res}{space 2} .0716957{col 26}{space 2} 2.043856{col 37}{space 1}    0.04{col 46}{space 3}0.972{col 54}{space 4}-3.934189{col 67}{space 3}  4.07758
{txt}{space 8}221  {c |}{col 14}{res}{space 2}   .06323{col 26}{space 2} 2.053747{col 37}{space 1}    0.03{col 46}{space 3}0.975{col 54}{space 4} -3.96204{col 67}{space 3}   4.0885
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. gen xyz=1 if e(sample)==1
{txt}(3,357 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 22 221
{txt}(3,972 missing values generated)

{com}. 
. twoway hist llr_extremity if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Left-right extremity t-1" "Coefficient on interaction term is -.085 (se=.101)",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1" , size(medsmall) axis(1)) ///
> legend(off) title(Van de Wardt (2017): Model 3)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss_cg##c.l.lr_extremity l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties party_age  if linalliance==0  || ccode:, var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-130.60062}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -126.8048}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-126.59332}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-126.59332}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-126.58613}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-126.58611}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-126.58611}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,384
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        10
{txt}{col 63}avg{col 67}={col 69}{res}      69.2
{txt}{col 63}max{col 67}={col 69}{res}       184

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    26.49
{txt}Log likelihood = {res}-126.58611{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0055

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               inalliance{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}pss_cg {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} .4650836{col 39}{space 2}  .176654{col 50}{space 1}    2.63{col 59}{space 3}0.008{col 67}{space 4} .1188482{col 80}{space 3} .8113191
{txt}{space 25} {c |}
{space 13}lr_extremity {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.1209593{col 39}{space 2} .0972693{col 50}{space 1}   -1.24{col 59}{space 3}0.214{col 67}{space 4}-.3116035{col 80}{space 3}  .069685
{txt}{space 25} {c |}
cL.pss_cg#cL.lr_extremity {c |}{col 27}{res}{space 2} -.053924{col 39}{space 2} .0481635{col 50}{space 1}   -1.12{col 59}{space 3}0.263{col 67}{space 4}-.1483226{col 80}{space 3} .0404747
{txt}{space 25} {c |}
{space 15}vote_share {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.0319592{col 39}{space 2} .0259435{col 50}{space 1}   -1.23{col 59}{space 3}0.218{col 67}{space 4}-.0828075{col 80}{space 3} .0188891
{txt}{space 25} {c |}
{space 15}advantager {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.9152458{col 39}{space 2} .9295371{col 50}{space 1}   -0.98{col 59}{space 3}0.325{col 67}{space 4}-2.737105{col 80}{space 3} .9066135
{txt}{space 25} {c |}
{space 17}norepres {c |}{col 27}{res}{space 2} .4302977{col 39}{space 2} .9717721{col 50}{space 1}    0.44{col 59}{space 3}0.658{col 67}{space 4}-1.474341{col 80}{space 3} 2.334936
{txt}{space 14}lopposition {c |}{col 27}{res}{space 2}-.1678165{col 39}{space 2} .6731516{col 50}{space 1}   -0.25{col 59}{space 3}0.803{col 67}{space 4}-1.487169{col 80}{space 3} 1.151536
{txt}{space 25} {c |}
{space 15}office_exp {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.5886794{col 39}{space 2} .9018064{col 50}{space 1}   -0.65{col 59}{space 3}0.514{col 67}{space 4}-2.356187{col 80}{space 3} 1.178829
{txt}{space 25} {c |}
{space 13}alliance_exp {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} 1.625478{col 39}{space 2} 1.582308{col 50}{space 1}    1.03{col 59}{space 3}0.304{col 67}{space 4}-1.475789{col 80}{space 3} 4.726745
{txt}{space 25} {c |}
{space 11}totparlparties {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}  .186627{col 39}{space 2} .1015977{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0125009{col 80}{space 3} .3857549
{txt}{space 25} {c |}
{space 16}party_age {c |}{col 27}{res}{space 2} .0005573{col 39}{space 2} .0074079{col 50}{space 1}    0.08{col 59}{space 3}0.940{col 67}{space 4}-.0139619{col 80}{space 3} .0150764
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} -4.60318{col 39}{space 2}  1.46998{col 50}{space 1}   -3.13{col 59}{space 3}0.002{col 67}{space 4}-7.484288{col 80}{space 3}-1.722071
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.638129{col 44} 1.751837{col 58} .7178925{col 70} 9.694658
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}18.73{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(l.lr_extremity=(0(0.1)22)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,384

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 9}.9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:L.lr_extre~y}{space 4}{txt:=} {space 8}1.8}{p_end}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_cg     {txt}{c |}
{space 9}_at {c |}
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{txt}{space 10}6  {c |}{col 14}{res}{space 2} .4381217{col 26}{space 2}  .163804{col 37}{space 1}    2.67{col 46}{space 3}0.007{col 54}{space 4} .1170717{col 67}{space 3} .7591717
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .4327293{col 26}{space 2} .1615425{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .1161118{col 67}{space 3} .7493467
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .4273369{col 26}{space 2} .1593944{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .1149296{col 67}{space 3} .7397442
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{txt}{space 9}13  {c |}{col 14}{res}{space 2} .4003749{col 26}{space 2} .1505175{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4}  .105366{col 67}{space 3} .6953838
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .3949825{col 26}{space 2} .1491459{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4}  .102662{col 67}{space 3}  .687303
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .3895901{col 26}{space 2} .1479184{col 37}{space 1}    2.63{col 46}{space 3}0.008{col 54}{space 4} .0996754{col 67}{space 3} .6795049
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .3841977{col 26}{space 2} .1468387{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0963991{col 67}{space 3} .6719964
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .3788053{col 26}{space 2} .1459101{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .0928267{col 67}{space 3} .6647839
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{txt}{space 8}216  {c |}{col 14}{res}{space 2}-.6942815{col 26}{space 2} .9436319{col 37}{space 1}   -0.74{col 46}{space 3}0.462{col 54}{space 4}-2.543766{col 67}{space 3} 1.155203
{txt}{space 8}217  {c |}{col 14}{res}{space 2}-.6996739{col 26}{space 2} .9483924{col 37}{space 1}   -0.74{col 46}{space 3}0.461{col 54}{space 4}-2.558489{col 67}{space 3} 1.159141
{txt}{space 8}218  {c |}{col 14}{res}{space 2}-.7050663{col 26}{space 2} .9531535{col 37}{space 1}   -0.74{col 46}{space 3}0.459{col 54}{space 4}-2.573213{col 67}{space 3}  1.16308
{txt}{space 8}219  {c |}{col 14}{res}{space 2}-.7104586{col 26}{space 2} .9579151{col 37}{space 1}   -0.74{col 46}{space 3}0.458{col 54}{space 4}-2.587938{col 67}{space 3} 1.167021
{txt}{space 8}220  {c |}{col 14}{res}{space 2} -.715851{col 26}{space 2} .9626773{col 37}{space 1}   -0.74{col 46}{space 3}0.457{col 54}{space 4}-2.602664{col 67}{space 3} 1.170962
{txt}{space 8}221  {c |}{col 14}{res}{space 2}-.7212434{col 26}{space 2} .9674401{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-2.617391{col 67}{space 3} 1.174904
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. gen xyz=1 if e(sample)==1
{txt}(2,809 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 22 221
{txt}(3,972 missing values generated)

{com}. 
. twoway hist llr_extremity if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Left-right extremity t-1" "Coefficient on interaction term is -.054 (se=.048)",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off) title(Clark & Golder (2006))   graphregion(color(white)) name(c, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. graph combine a b c , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA18.wmf", replace
{txt}
{com}. 
. **Replicate Figure A19
. 
. xtmixed nicheness c.l.pss##i.niche_party_meguid vote_loss party_age l.vote_share i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4152.6637}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4152.6637}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,499
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       184

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    37.80
{txt}Log likelihood = {res}-4152.6637{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                nicheness{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}pss {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} -.118518{col 39}{space 2} .1410173{col 50}{space 1}   -0.84{col 59}{space 3}0.401{col 67}{space 4}-.3949069{col 80}{space 3} .1578709
{txt}{space 25} {c |}
{space 7}niche_party_meguid {c |}
{space 22}NP  {c |}{col 27}{res}{space 2} 1.728738{col 39}{space 2} .6511787{col 50}{space 1}    2.65{col 59}{space 3}0.008{col 67}{space 4} .4524508{col 80}{space 3} 3.005024
{txt}{space 25} {c |}
niche_party_meguid#cL.pss {c |}
{space 22}NP  {c |}{col 27}{res}{space 2}-.2818686{col 39}{space 2} .2527711{col 50}{space 1}   -1.12{col 59}{space 3}0.265{col 67}{space 4}-.7772908{col 80}{space 3} .2135535
{txt}{space 25} {c |}
{space 16}vote_loss {c |}{col 27}{res}{space 2} .0074955{col 39}{space 2} .0236902{col 50}{space 1}    0.32{col 59}{space 3}0.752{col 67}{space 4}-.0389365{col 80}{space 3} .0539275
{txt}{space 16}party_age {c |}{col 27}{res}{space 2} -.010905{col 39}{space 2} .0076098{col 50}{space 1}   -1.43{col 59}{space 3}0.152{col 67}{space 4}  -.02582{col 80}{space 3}   .00401
{txt}{space 25} {c |}
{space 15}vote_share {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.0492847{col 39}{space 2} .0173518{col 50}{space 1}   -2.84{col 59}{space 3}0.005{col 67}{space 4}-.0832937{col 80}{space 3}-.0152757
{txt}{space 25} {c |}
{space 19}decade {c |}
{space 15}1960-1969  {c |}{col 27}{res}{space 2}  .597985{col 39}{space 2} .3907542{col 50}{space 1}    1.53{col 59}{space 3}0.126{col 67}{space 4}-.1678792{col 80}{space 3} 1.363849
{txt}{space 15}1970-1979  {c |}{col 27}{res}{space 2} .2464944{col 39}{space 2} .4000804{col 50}{space 1}    0.62{col 59}{space 3}0.538{col 67}{space 4}-.5376488{col 80}{space 3} 1.030638
{txt}{space 15}1980-1989  {c |}{col 27}{res}{space 2} .3991093{col 39}{space 2} .4290288{col 50}{space 1}    0.93{col 59}{space 3}0.352{col 67}{space 4}-.4417717{col 80}{space 3}  1.23999
{txt}{space 15}1990-1999  {c |}{col 27}{res}{space 2} .2763596{col 39}{space 2} .4785011{col 50}{space 1}    0.58{col 59}{space 3}0.564{col 67}{space 4}-.6614853{col 80}{space 3} 1.214205
{txt}{space 12}2000 onwards  {c |}{col 27}{res}{space 2} .4285399{col 39}{space 2} .5212241{col 50}{space 1}    0.82{col 59}{space 3}0.411{col 67}{space 4}-.5930406{col 80}{space 3}  1.45012
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} 3.400349{col 39}{space 2} .5554231{col 50}{space 1}    6.12{col 59}{space 3}0.000{col 67}{space 4} 2.311739{col 80}{space 3} 4.488958
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 11.33063{col 44} 1.658056{col 58} 8.505395{col 70} 15.09433
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.78369{col 44} .4679488{col 58} 10.90131{col 70} 12.73749
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}244.85{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_meguid=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,499

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.118518{col 26}{space 2} .1410173{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.3949069{col 67}{space 3} .1578709
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.4003866{col 26}{space 2} .2145321{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-.8208619{col 67}{space 3} .0200886
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("Coefficient on interaction term is -.282(se=.253)") ///
> title(Van de Wardt (2017): Model 2) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_meguid{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss_mod3##i.niche_party_meguid vote_loss party_age l.vote_share i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-1609.2246}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-1609.2246}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}       654
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       148

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       4.4
{txt}{col 63}max{col 67}={col 69}{res}        13

{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}    75.98
{txt}Log likelihood = {res}-1609.2246{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                     nicheness{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}pss_mod3 {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}-.0747949{col 44}{space 2} .1397943{col 55}{space 1}   -0.54{col 64}{space 3}0.593{col 72}{space 4}-.3487866{col 85}{space 3} .1991968
{txt}{space 30} {c |}
{space 12}niche_party_meguid {c |}
{space 27}NP  {c |}{col 32}{res}{space 2} 2.413039{col 44}{space 2} .4717882{col 55}{space 1}    5.11{col 64}{space 3}0.000{col 72}{space 4} 1.488351{col 85}{space 3} 3.337727
{txt}{space 30} {c |}
niche_party_meguid#cL.pss_mod3 {c |}
{space 27}NP  {c |}{col 32}{res}{space 2}-.1328723{col 44}{space 2} .2372207{col 55}{space 1}   -0.56{col 64}{space 3}0.575{col 72}{space 4}-.5978163{col 85}{space 3} .3320717
{txt}{space 30} {c |}
{space 21}vote_loss {c |}{col 32}{res}{space 2}-.0208825{col 44}{space 2} .0256564{col 55}{space 1}   -0.81{col 64}{space 3}0.416{col 72}{space 4}-.0711681{col 85}{space 3} .0294031
{txt}{space 21}party_age {c |}{col 32}{res}{space 2}-.0085974{col 44}{space 2} .0054804{col 55}{space 1}   -1.57{col 64}{space 3}0.117{col 72}{space 4}-.0193389{col 85}{space 3}  .002144
{txt}{space 30} {c |}
{space 20}vote_share {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}-.0421713{col 44}{space 2} .0159449{col 55}{space 1}   -2.64{col 64}{space 3}0.008{col 72}{space 4}-.0734228{col 85}{space 3}-.0109198
{txt}{space 30} {c |}
{space 24}decade {c |}
{space 20}1980-1989  {c |}{col 32}{res}{space 2}-.3373682{col 44}{space 2} .4453391{col 55}{space 1}   -0.76{col 64}{space 3}0.449{col 72}{space 4}-1.210217{col 85}{space 3} .5354805
{txt}{space 20}1990-1999  {c |}{col 32}{res}{space 2}-.3561847{col 44}{space 2} .4628931{col 55}{space 1}   -0.77{col 64}{space 3}0.442{col 72}{space 4}-1.263438{col 85}{space 3}  .551069
{txt}{space 17}2000 onwards  {c |}{col 32}{res}{space 2} .1468285{col 44}{space 2} .4664092{col 55}{space 1}    0.31{col 64}{space 3}0.753{col 72}{space 4}-.7673168{col 85}{space 3} 1.060974
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}  2.97602{col 44}{space 2} .5629535{col 55}{space 1}    5.29{col 64}{space 3}0.000{col 72}{space 4} 1.872651{col 85}{space 3} 4.079388
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.776555{col 44} .7205618{col 58}  2.59829{col 70} 5.489135
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33}   6.1482{col 44} .3917591{col 58} 5.426378{col 70}  6.96604
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}120.72{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(niche_party_meguid=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       654

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0747949{col 26}{space 2} .1397943{col 37}{space 1}   -0.54{col 46}{space 3}0.593{col 54}{space 4}-.3487866{col 67}{space 3} .1991968
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2076672{col 26}{space 2}  .192259{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4} -.584488{col 67}{space 3} .1691536
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("Coefficient on interaction term is -.133(se=.237)") ///
> title(Van de Wardt (2017): Model 3) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_meguid{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss_cg##i.niche_party_meguid vote_loss party_age l.vote_share i.decade ||  party_id:,  var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-3204.0682}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-3204.0682}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,138
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       149

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       7.6
{txt}{col 63}max{col 67}={col 69}{res}        21

{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    28.07
{txt}Log likelihood = {res}-3204.0682{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0032

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                   nicheness{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}pss_cg {c |}
{space 25}L1. {c |}{col 30}{res}{space 2} .0518517{col 42}{space 2} .2084616{col 53}{space 1}    0.25{col 62}{space 3}0.804{col 70}{space 4}-.3567256{col 83}{space 3} .4604289
{txt}{space 28} {c |}
{space 10}niche_party_meguid {c |}
{space 25}NP  {c |}{col 30}{res}{space 2}  1.35552{col 42}{space 2} .7599432{col 53}{space 1}    1.78{col 62}{space 3}0.074{col 70}{space 4}-.1339408{col 83}{space 3} 2.844982
{txt}{space 28} {c |}
niche_party_meguid#cL.pss_cg {c |}
{space 25}NP  {c |}{col 30}{res}{space 2} .0357195{col 42}{space 2} .4028071{col 53}{space 1}    0.09{col 62}{space 3}0.929{col 70}{space 4} -.753768{col 83}{space 3} .8252071
{txt}{space 28} {c |}
{space 19}vote_loss {c |}{col 30}{res}{space 2} .0157861{col 42}{space 2} .0275552{col 53}{space 1}    0.57{col 62}{space 3}0.567{col 70}{space 4}-.0382211{col 83}{space 3} .0697934
{txt}{space 19}party_age {c |}{col 30}{res}{space 2}-.0135407{col 42}{space 2} .0091235{col 53}{space 1}   -1.48{col 62}{space 3}0.138{col 70}{space 4}-.0314224{col 83}{space 3}  .004341
{txt}{space 28} {c |}
{space 18}vote_share {c |}
{space 25}L1. {c |}{col 30}{res}{space 2}-.0498749{col 42}{space 2} .0199335{col 53}{space 1}   -2.50{col 62}{space 3}0.012{col 70}{space 4}-.0889438{col 83}{space 3} -.010806
{txt}{space 28} {c |}
{space 22}decade {c |}
{space 18}1960-1969  {c |}{col 30}{res}{space 2} .8711317{col 42}{space 2} .4291274{col 53}{space 1}    2.03{col 62}{space 3}0.042{col 70}{space 4} .0300574{col 83}{space 3} 1.712206
{txt}{space 18}1970-1979  {c |}{col 30}{res}{space 2}  .390745{col 42}{space 2} .4469771{col 53}{space 1}    0.87{col 62}{space 3}0.382{col 70}{space 4} -.485314{col 83}{space 3} 1.266804
{txt}{space 18}1980-1989  {c |}{col 30}{res}{space 2} .6714651{col 42}{space 2} .4820801{col 53}{space 1}    1.39{col 62}{space 3}0.164{col 70}{space 4}-.2733945{col 83}{space 3} 1.616325
{txt}{space 18}1990-1999  {c |}{col 30}{res}{space 2} .3860502{col 42}{space 2} .5379345{col 53}{space 1}    0.72{col 62}{space 3}0.473{col 70}{space 4}-.6682822{col 83}{space 3} 1.440382
{txt}{space 15}2000 onwards  {c |}{col 30}{res}{space 2} .3412567{col 42}{space 2} .6398672{col 53}{space 1}    0.53{col 62}{space 3}0.594{col 70}{space 4}  -.91286{col 83}{space 3} 1.595373
{txt}{space 28} {c |}
{space 23}_cons {c |}{col 30}{res}{space 2} 3.481957{col 42}{space 2} .6287275{col 53}{space 1}    5.54{col 62}{space 3}0.000{col 70}{space 4} 2.249674{col 83}{space 3} 4.714241
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 11.55949{col 44} 1.876583{col 58} 8.409173{col 70} 15.88999
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 12.86598{col 44}   .58772{col 58} 11.76413{col 70} 14.07103
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}169.80{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. margins, dydx(L.pss_cg) at(niche_party_meguid=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,138

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_cg     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0518517{col 26}{space 2} .2084616{col 37}{space 1}    0.25{col 46}{space 3}0.804{col 54}{space 4}-.3567256{col 67}{space 3} .4604289
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0875712{col 26}{space 2} .3542799{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4}-.6068047{col 67}{space 3} .7819471
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("Coefficient on interaction term is .036(se=.403)") ///
> title(Clark & Golder (2006)) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_meguid{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA19.wmf", replace
{txt}
{com}. 
. **Replicate Figure A20
. 
. xtmelogit inalliance c.l.pss##i.niche_party_meguid l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties  party_age  if linalliance==0  || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-213.55874}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-210.82618}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -210.1761}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -210.1761}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-210.16692}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-210.16689}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-210.16689}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,091
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        16
{txt}{col 63}avg{col 67}={col 69}{res}      99.6
{txt}{col 63}max{col 67}={col 69}{res}       166

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    40.22
{txt}Log likelihood = {res}-210.16689{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               inalliance{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}pss {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} .4439801{col 39}{space 2} .1497851{col 50}{space 1}    2.96{col 59}{space 3}0.003{col 67}{space 4} .1504066{col 80}{space 3} .7375536
{txt}{space 25} {c |}
{space 7}niche_party_meguid {c |}
{space 22}NP  {c |}{col 27}{res}{space 2} .0113308{col 39}{space 2} .3962173{col 50}{space 1}    0.03{col 59}{space 3}0.977{col 67}{space 4}-.7652408{col 80}{space 3} .7879024
{txt}{space 25} {c |}
niche_party_meguid#cL.pss {c |}
{space 22}NP  {c |}{col 27}{res}{space 2}-.3480166{col 39}{space 2} .1761672{col 50}{space 1}   -1.98{col 59}{space 3}0.048{col 67}{space 4}-.6932979{col 80}{space 3}-.0027352
{txt}{space 25} {c |}
{space 15}vote_share {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.0285571{col 39}{space 2} .0232056{col 50}{space 1}   -1.23{col 59}{space 3}0.218{col 67}{space 4}-.0740393{col 80}{space 3}  .016925
{txt}{space 25} {c |}
{space 15}advantager {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.8813152{col 39}{space 2} .6219888{col 50}{space 1}   -1.42{col 59}{space 3}0.157{col 67}{space 4}-2.100391{col 80}{space 3} .3377605
{txt}{space 25} {c |}
{space 17}norepres {c |}{col 27}{res}{space 2}-.0016281{col 39}{space 2} .6723732{col 50}{space 1}   -0.00{col 59}{space 3}0.998{col 67}{space 4}-1.319455{col 80}{space 3} 1.316199
{txt}{space 14}lopposition {c |}{col 27}{res}{space 2}-.4750899{col 39}{space 2}  .559196{col 50}{space 1}   -0.85{col 59}{space 3}0.396{col 67}{space 4}-1.571094{col 80}{space 3} .6209142
{txt}{space 25} {c |}
{space 15}office_exp {c |}
{space 22}L1. {c |}{col 27}{res}{space 2}-.9280521{col 39}{space 2} .7770223{col 50}{space 1}   -1.19{col 59}{space 3}0.232{col 67}{space 4}-2.450988{col 80}{space 3} .5948836
{txt}{space 25} {c |}
{space 13}alliance_exp {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} 3.381577{col 39}{space 2} 1.025797{col 50}{space 1}    3.30{col 59}{space 3}0.001{col 67}{space 4} 1.371051{col 80}{space 3} 5.392103
{txt}{space 25} {c |}
{space 11}totparlparties {c |}
{space 22}L1. {c |}{col 27}{res}{space 2} .1328772{col 39}{space 2} .0692364{col 50}{space 1}    1.92{col 59}{space 3}0.055{col 67}{space 4}-.0028236{col 80}{space 3} .2685781
{txt}{space 25} {c |}
{space 16}party_age {c |}{col 27}{res}{space 2}  .003518{col 39}{space 2}  .005705{col 50}{space 1}    0.62{col 59}{space 3}0.537{col 67}{space 4}-.0076635{col 80}{space 3} .0146995
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-4.220048{col 39}{space 2}  1.08777{col 50}{space 1}   -3.88{col 59}{space 3}0.000{col 67}{space 4}-6.352037{col 80}{space 3}-2.088058
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.032913{col 44} .6195575{col 58} .3187861{col 70} 3.346786
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}25.26{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_meguid=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,091

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4439801{col 26}{space 2} .1497851{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .1504066{col 67}{space 3} .7375536
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0959635{col 26}{space 2} .1389232{col 37}{space 1}    0.69{col 46}{space 3}0.490{col 54}{space 4}-.1763209{col 67}{space 3}  .368248
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("Coefficient on interaction term is -.348 (se=.176)") ///
> title(Van de Wardt (2017): Model 2) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_meguid{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmelogit inalliance c.l.pss_mod3##i.niche_party_meguid l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties  party_age  if linalliance==0  || ccode:, var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-92.765378}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-87.177158}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-86.342365}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-86.342365}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-86.272031}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-86.271882}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-86.271882}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       920
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         9
{txt}{col 63}avg{col 67}={col 69}{res}      46.0
{txt}{col 63}max{col 67}={col 69}{res}       124

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    27.31
{txt}Log likelihood = {res}-86.271882{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0041

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    inalliance{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}pss_mod3 {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} 1.346565{col 44}{space 2} .3596868{col 55}{space 1}    3.74{col 64}{space 3}0.000{col 72}{space 4} .6415922{col 85}{space 3} 2.051538
{txt}{space 30} {c |}
{space 12}niche_party_meguid {c |}
{space 27}NP  {c |}{col 32}{res}{space 2} .7672398{col 44}{space 2} .7541705{col 55}{space 1}    1.02{col 64}{space 3}0.309{col 72}{space 4}-.7109073{col 85}{space 3} 2.245387
{txt}{space 30} {c |}
niche_party_meguid#cL.pss_mod3 {c |}
{space 27}NP  {c |}{col 32}{res}{space 2}-.8492865{col 44}{space 2}  .363749{col 55}{space 1}   -2.33{col 64}{space 3}0.020{col 72}{space 4}-1.562221{col 85}{space 3}-.1363517
{txt}{space 30} {c |}
{space 20}vote_share {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}-.0297617{col 44}{space 2} .0485693{col 55}{space 1}   -0.61{col 64}{space 3}0.540{col 72}{space 4}-.1249557{col 85}{space 3} .0654324
{txt}{space 30} {c |}
{space 20}advantager {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}-2.310267{col 44}{space 2} .9614416{col 55}{space 1}   -2.40{col 64}{space 3}0.016{col 72}{space 4}-4.194658{col 85}{space 3}-.4258761
{txt}{space 30} {c |}
{space 22}norepres {c |}{col 32}{res}{space 2}-1.018903{col 44}{space 2}  .974033{col 55}{space 1}   -1.05{col 64}{space 3}0.296{col 72}{space 4}-2.927972{col 85}{space 3} .8901669
{txt}{space 19}lopposition {c |}{col 32}{res}{space 2} 1.408073{col 44}{space 2} 1.035499{col 55}{space 1}    1.36{col 64}{space 3}0.174{col 72}{space 4}-.6214674{col 85}{space 3} 3.437614
{txt}{space 30} {c |}
{space 20}office_exp {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} .4600109{col 44}{space 2} 1.340187{col 55}{space 1}    0.34{col 64}{space 3}0.731{col 72}{space 4}-2.166708{col 85}{space 3}  3.08673
{txt}{space 30} {c |}
{space 18}alliance_exp {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} -.201258{col 44}{space 2} 2.353281{col 55}{space 1}   -0.09{col 64}{space 3}0.932{col 72}{space 4}-4.813604{col 85}{space 3} 4.411088
{txt}{space 30} {c |}
{space 16}totparlparties {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}-.1305553{col 44}{space 2} .1129656{col 55}{space 1}   -1.16{col 64}{space 3}0.248{col 72}{space 4}-.3519638{col 85}{space 3} .0908532
{txt}{space 30} {c |}
{space 21}party_age {c |}{col 32}{res}{space 2} .0129477{col 44}{space 2} .0091564{col 55}{space 1}    1.41{col 64}{space 3}0.157{col 72}{space 4}-.0049986{col 85}{space 3}  .030894
{txt}{space 25}_cons {c |}{col 32}{res}{space 2}-4.120192{col 44}{space 2} 1.811002{col 55}{space 1}   -2.28{col 64}{space 3}0.023{col 72}{space 4} -7.66969{col 85}{space 3}-.5706935
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.571709{col 44}  1.70984{col 58} .6986949{col 70} 9.465776
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}29.21{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(niche_party_meguid=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       920

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.346565{col 26}{space 2} .3596868{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} .6415922{col 67}{space 3} 2.051538
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4972788{col 26}{space 2} .2415458{col 37}{space 1}    2.06{col 46}{space 3}0.040{col 54}{space 4} .0238576{col 67}{space 3} .9706999
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("Coefficient on interaction term is -.849 (se=.364)") ///
> title(Van de Wardt (2017): Model 3) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_meguid{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmelogit inalliance c.l.pss_cg##i.niche_party_meguid l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties  party_age  if linalliance==0  || ccode:, var  
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-146.78788}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-145.53604}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-145.49493}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-145.49493}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-145.49488}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-145.49488}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,551
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        10
{txt}{col 63}avg{col 67}={col 69}{res}      77.5
{txt}{col 63}max{col 67}={col 69}{res}       147

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    29.88
{txt}Log likelihood = {res}-145.49488{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0017

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  inalliance{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}pss_cg {c |}
{space 25}L1. {c |}{col 30}{res}{space 2} .3324368{col 42}{space 2} .1812494{col 53}{space 1}    1.83{col 62}{space 3}0.067{col 70}{space 4}-.0228055{col 83}{space 3} .6876791
{txt}{space 28} {c |}
{space 10}niche_party_meguid {c |}
{space 25}NP  {c |}{col 30}{res}{space 2} .1033979{col 42}{space 2} .4474444{col 53}{space 1}    0.23{col 62}{space 3}0.817{col 70}{space 4} -.773577{col 83}{space 3} .9803728
{txt}{space 28} {c |}
niche_party_meguid#cL.pss_cg {c |}
{space 25}NP  {c |}{col 30}{res}{space 2}-.3624925{col 42}{space 2} .2291851{col 53}{space 1}   -1.58{col 62}{space 3}0.114{col 70}{space 4}-.8116871{col 83}{space 3}  .086702
{txt}{space 28} {c |}
{space 18}vote_share {c |}
{space 25}L1. {c |}{col 30}{res}{space 2}-.0311998{col 42}{space 2} .0268467{col 53}{space 1}   -1.16{col 62}{space 3}0.245{col 70}{space 4}-.0838184{col 83}{space 3} .0214188
{txt}{space 28} {c |}
{space 18}advantager {c |}
{space 25}L1. {c |}{col 30}{res}{space 2}-.6234557{col 42}{space 2} .7669093{col 53}{space 1}   -0.81{col 62}{space 3}0.416{col 70}{space 4} -2.12657{col 83}{space 3}  .879659
{txt}{space 28} {c |}
{space 20}norepres {c |}{col 30}{res}{space 2}-.0370625{col 42}{space 2} .8607213{col 53}{space 1}   -0.04{col 62}{space 3}0.966{col 70}{space 4}-1.724045{col 83}{space 3}  1.64992
{txt}{space 17}lopposition {c |}{col 30}{res}{space 2}-.5060068{col 42}{space 2} .6890721{col 53}{space 1}   -0.73{col 62}{space 3}0.463{col 70}{space 4}-1.856563{col 83}{space 3} .8445497
{txt}{space 28} {c |}
{space 18}office_exp {c |}
{space 25}L1. {c |}{col 30}{res}{space 2}-.5407226{col 42}{space 2} .9435284{col 53}{space 1}   -0.57{col 62}{space 3}0.567{col 70}{space 4}-2.390004{col 83}{space 3} 1.308559
{txt}{space 28} {c |}
{space 16}alliance_exp {c |}
{space 25}L1. {c |}{col 30}{res}{space 2} 3.890885{col 42}{space 2} 1.274652{col 53}{space 1}    3.05{col 62}{space 3}0.002{col 70}{space 4} 1.392614{col 83}{space 3} 6.389157
{txt}{space 28} {c |}
{space 14}totparlparties {c |}
{space 25}L1. {c |}{col 30}{res}{space 2} .2135585{col 42}{space 2} .0822664{col 53}{space 1}    2.60{col 62}{space 3}0.009{col 70}{space 4} .0523193{col 83}{space 3} .3747978
{txt}{space 28} {c |}
{space 19}party_age {c |}{col 30}{res}{space 2}-.0023128{col 42}{space 2} .0073831{col 53}{space 1}   -0.31{col 62}{space 3}0.754{col 70}{space 4}-.0167834{col 83}{space 3} .0121578
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}-5.031427{col 42}{space 2} 1.364166{col 53}{space 1}   -3.69{col 62}{space 3}0.000{col 70}{space 4}-7.705142{col 83}{space 3}-2.357711
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.286398{col 44}  .998174{col 58} .2811187{col 70} 5.886551
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}11.23{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0004
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(niche_party_meguid=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,551

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_cg     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3324368{col 26}{space 2} .1812494{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4}-.0228055{col 67}{space 3} .6876791
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0300557{col 26}{space 2} .1717382{col 37}{space 1}   -0.18{col 46}{space 3}0.861{col 54}{space 4}-.3666565{col 67}{space 3} .3065451
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("Coefficient on interaction term is -.362 (se=.229)") ///
> title(Clark & Golder (2006)) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_meguid{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA20.wmf", replace
{txt}
{com}. 
. **Replicate Figure A21
. 
. preserve
{txt}
{com}. 
. drop if elec_year==elec_year_parl2
{txt}(260 observations deleted)

{com}. 
. firthlogit merger c.pss##i.niche_party_meguid party_age norepres2 office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-219.89851}
rescale:{col 16}penalized log likelihood = {res:-219.89851}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-219.89851}  
Iteration 1:{space 3}penalized log likelihood = {res:-215.88217}  
Iteration 2:{space 3}penalized log likelihood = {res: -201.8168}  
Iteration 3:{space 3}penalized log likelihood = {res:-201.70211}  
Iteration 4:{space 3}penalized log likelihood = {res:-201.70196}  
Iteration 5:{space 3}penalized log likelihood = {res:-201.70196}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,558
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     35.23
{txt}Penalized log likelihood = {res}-201.70196{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  merger{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}pss {c |}{col 26}{res}{space 2} .1198264{col 38}{space 2}  .110418{col 49}{space 1}    1.09{col 58}{space 3}0.278{col 66}{space 4} -.096589{col 79}{space 3} .3362418
{txt}{space 24} {c |}
{space 6}niche_party_meguid {c |}
{space 21}NP  {c |}{col 26}{res}{space 2}-.8217422{col 38}{space 2} .3643361{col 49}{space 1}   -2.26{col 58}{space 3}0.024{col 66}{space 4}-1.535828{col 79}{space 3}-.1076566
{txt}{space 24} {c |}
niche_party_meguid#c.pss {c |}
{space 21}NP  {c |}{col 26}{res}{space 2} -.314219{col 38}{space 2} .2434561{col 49}{space 1}   -1.29{col 58}{space 3}0.197{col 66}{space 4}-.7913841{col 79}{space 3} .1629462
{txt}{space 24} {c |}
{space 15}party_age {c |}{col 26}{res}{space 2}-.0186317{col 38}{space 2} .0064324{col 49}{space 1}   -2.90{col 58}{space 3}0.004{col 66}{space 4}-.0312391{col 79}{space 3}-.0060243
{txt}{space 15}norepres2 {c |}{col 26}{res}{space 2}-.2719824{col 38}{space 2} .4519258{col 49}{space 1}   -0.60{col 58}{space 3}0.547{col 66}{space 4}-1.157741{col 79}{space 3} .6137759
{txt}{space 14}office_exp {c |}{col 26}{res}{space 2}-1.118213{col 38}{space 2} .4839995{col 49}{space 1}   -2.31{col 58}{space 3}0.021{col 66}{space 4}-2.066835{col 79}{space 3}-.1695919
{txt}{space 12}alliance_exp {c |}{col 26}{res}{space 2} 1.112524{col 38}{space 2} .3788986{col 49}{space 1}    2.94{col 58}{space 3}0.003{col 66}{space 4} .3698966{col 79}{space 3} 1.855152
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-3.001745{col 38}{space 2} .2797255{col 49}{space 1}  -10.73{col 58}{space 3}0.000{col 66}{space 4}-3.549997{col 79}{space 3}-2.453494
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, dydx(pss) at(niche_party_meguid=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,558
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1198264{col 26}{space 2}  .110418{col 37}{space 1}    1.09{col 46}{space 3}0.278{col 54}{space 4} -.096589{col 67}{space 3} .3362418
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1943926{col 26}{space 2} .2174705{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-.6206269{col 67}{space 3} .2318417
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("Coefficient on interaction term is -.314 (se=.243)") ///
> title(Van de Wardt (2017): Model 2) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_meguid{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. firthlogit merger c.pss_mod3##i.niche_party_meguid party_age norepres2 office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-112.41255}
rescale:{col 16}penalized log likelihood = {res:-112.41255}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-112.41255}  
Iteration 1:{space 3}penalized log likelihood = {res:-100.26474}  
Iteration 2:{space 3}penalized log likelihood = {res:-98.481976}  
Iteration 3:{space 3}penalized log likelihood = {res:-98.475305}  
Iteration 4:{space 3}penalized log likelihood = {res:-98.475303}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,169
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     28.83
{txt}Penalized log likelihood = {res}-98.475303{txt}{col 49}Prob > chi2{col 67}= {res}    0.0002

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                       merger{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      z{col 63}   P>|z|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}pss_mod3 {c |}{col 31}{res}{space 2}-.0569637{col 43}{space 2} .1555239{col 54}{space 1}   -0.37{col 63}{space 3}0.714{col 71}{space 4}-.3617849{col 84}{space 3} .2478575
{txt}{space 29} {c |}
{space 11}niche_party_meguid {c |}
{space 26}NP  {c |}{col 31}{res}{space 2}-.7050479{col 43}{space 2} .4936464{col 54}{space 1}   -1.43{col 63}{space 3}0.153{col 71}{space 4}-1.672577{col 84}{space 3} .2624813
{txt}{space 29} {c |}
niche_party_meguid#c.pss_mod3 {c |}
{space 26}NP  {c |}{col 31}{res}{space 2}-.2340494{col 43}{space 2} .2873406{col 54}{space 1}   -0.81{col 63}{space 3}0.415{col 71}{space 4}-.7972265{col 84}{space 3} .3291278
{txt}{space 29} {c |}
{space 20}party_age {c |}{col 31}{res}{space 2} -.009156{col 43}{space 2} .0070791{col 54}{space 1}   -1.29{col 63}{space 3}0.196{col 71}{space 4}-.0230309{col 84}{space 3} .0047188
{txt}{space 20}norepres2 {c |}{col 31}{res}{space 2}-.4476819{col 43}{space 2} .7007658{col 54}{space 1}   -0.64{col 63}{space 3}0.523{col 71}{space 4}-1.821158{col 84}{space 3} .9257939
{txt}{space 19}office_exp {c |}{col 31}{res}{space 2}-1.386592{col 43}{space 2} .7526999{col 54}{space 1}   -1.84{col 63}{space 3}0.065{col 71}{space 4}-2.861857{col 84}{space 3} .0886725
{txt}{space 17}alliance_exp {c |}{col 31}{res}{space 2} 1.761639{col 43}{space 2} .4570257{col 54}{space 1}    3.85{col 63}{space 3}0.000{col 71}{space 4}  .865885{col 84}{space 3} 2.657393
{txt}{space 24}_cons {c |}{col 31}{res}{space 2}-3.176593{col 43}{space 2} .4240781{col 54}{space 1}   -7.49{col 63}{space 3}0.000{col 71}{space 4}-4.007771{col 84}{space 3}-2.345416
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, dydx(pss_mod3) at(niche_party_meguid=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,169
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss_mod3     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0569637{col 26}{space 2} .1555239{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3617849{col 67}{space 3} .2478575
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2910131{col 26}{space 2} .2419302{col 37}{space 1}   -1.20{col 46}{space 3}0.229{col 54}{space 4}-.7651875{col 67}{space 3} .1831614
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("Coefficient on interaction term is -.234 (se=.287)") ///
> title(Van de Wardt (2017): Model 3) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_meguid{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. firthlogit merger c.pss_cg##i.niche_party_meguid party_age norepres2 office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-202.89321}
rescale:{col 16}penalized log likelihood = {res:-202.89321}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-202.89321}  
Iteration 1:{space 3}penalized log likelihood = {res:-191.90432}  
Iteration 2:{space 3}penalized log likelihood = {res:-189.59471}  
Iteration 3:{space 3}penalized log likelihood = {res:-189.56737}  
Iteration 4:{space 3}penalized log likelihood = {res:-189.56734}  
Iteration 5:{space 3}penalized log likelihood = {res:-189.56734}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,911
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     20.78
{txt}Penalized log likelihood = {res}-189.56734{txt}{col 49}Prob > chi2{col 67}= {res}    0.0041

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                     merger{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}pss_cg {c |}{col 29}{res}{space 2} .0272728{col 41}{space 2} .1427673{col 52}{space 1}    0.19{col 61}{space 3}0.849{col 69}{space 4} -.252546{col 82}{space 3} .3070915
{txt}{space 27} {c |}
{space 9}niche_party_meguid {c |}
{space 24}NP  {c |}{col 29}{res}{space 2}-.6205385{col 41}{space 2} .3637747{col 52}{space 1}   -1.71{col 61}{space 3}0.088{col 69}{space 4}-1.333524{col 82}{space 3} .0924468
{txt}{space 27} {c |}
niche_party_meguid#c.pss_cg {c |}
{space 24}NP  {c |}{col 29}{res}{space 2}-.1861115{col 41}{space 2} .2883393{col 52}{space 1}   -0.65{col 61}{space 3}0.519{col 69}{space 4}-.7512462{col 82}{space 3} .3790231
{txt}{space 27} {c |}
{space 18}party_age {c |}{col 29}{res}{space 2}-.0275141{col 41}{space 2} .0072425{col 52}{space 1}   -3.80{col 61}{space 3}0.000{col 69}{space 4}-.0417092{col 82}{space 3} -.013319
{txt}{space 18}norepres2 {c |}{col 29}{res}{space 2}-.7585915{col 41}{space 2} .5245471{col 52}{space 1}   -1.45{col 61}{space 3}0.148{col 69}{space 4}-1.786685{col 82}{space 3} .2695019
{txt}{space 17}office_exp {c |}{col 29}{res}{space 2}-.3530188{col 41}{space 2} .4307734{col 52}{space 1}   -0.82{col 61}{space 3}0.413{col 69}{space 4}-1.197319{col 82}{space 3} .4912815
{txt}{space 15}alliance_exp {c |}{col 29}{res}{space 2} .3779611{col 41}{space 2}  .455633{col 52}{space 1}    0.83{col 61}{space 3}0.407{col 69}{space 4}-.5150633{col 82}{space 3} 1.270985
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-2.585092{col 41}{space 2} .2727841{col 52}{space 1}   -9.48{col 61}{space 3}0.000{col 69}{space 4}-3.119739{col 82}{space 3}-2.050445
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, dydx(pss_cg) at(niche_party_meguid=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,911
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_meguid}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss_cg       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0272728{col 26}{space 2} .1427673{col 37}{space 1}    0.19{col 46}{space 3}0.849{col 54}{space 4} -.252546{col 67}{space 3} .3070915
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1588388{col 26}{space 2} .2512366{col 37}{space 1}   -0.63{col 46}{space 3}0.527{col 54}{space 4}-.6512534{col 67}{space 3} .3335758
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("Coefficient on interaction term is -.186 (se=.288)") ///
> title(Clark & Golder (2006)) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_meguid{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. restore
{txt}
{com}. 
. graph combine a b c , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA21.wmf", replace
{txt}
{com}. 
. **Replicate Figure A22 
. 
. xtmelogit inalliance c.l.pss##i.niche_party_previous l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties  party_age   if linalliance==0  || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-169.43422}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-168.60318}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-164.28656}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-164.28656}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-163.76034}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-163.74034}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-163.74027}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-163.74027}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,811
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        12
{txt}{col 63}avg{col 67}={col 69}{res}      86.2
{txt}{col 63}max{col 67}={col 69}{res}       204

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    28.24
{txt}Log likelihood = {res}-163.74027{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0030

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                 inalliance{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}pss {c |}
{space 24}L1. {c |}{col 29}{res}{space 2} .4441811{col 41}{space 2} .1423115{col 52}{space 1}    3.12{col 61}{space 3}0.002{col 69}{space 4} .1652557{col 82}{space 3} .7231064
{txt}{space 27} {c |}
{space 7}niche_party_previous {c |}
{space 20}NP t-1  {c |}{col 29}{res}{space 2}  .203756{col 41}{space 2} .5107405{col 52}{space 1}    0.40{col 61}{space 3}0.690{col 69}{space 4} -.797277{col 82}{space 3} 1.204789
{txt}{space 27} {c |}
niche_party_previous#cL.pss {c |}
{space 20}NP t-1  {c |}{col 29}{res}{space 2}-.2922086{col 41}{space 2} .2936702{col 52}{space 1}   -1.00{col 61}{space 3}0.320{col 69}{space 4}-.8677916{col 82}{space 3} .2833743
{txt}{space 27} {c |}
{space 17}vote_share {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-.0262248{col 41}{space 2}  .022008{col 52}{space 1}   -1.19{col 61}{space 3}0.233{col 69}{space 4}-.0693598{col 82}{space 3} .0169101
{txt}{space 27} {c |}
{space 17}advantager {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-.5996968{col 41}{space 2} .7655153{col 52}{space 1}   -0.78{col 61}{space 3}0.433{col 69}{space 4}-2.100079{col 82}{space 3} .9006857
{txt}{space 27} {c |}
{space 19}norepres {c |}{col 29}{res}{space 2} .5754459{col 41}{space 2} .9393653{col 52}{space 1}    0.61{col 61}{space 3}0.540{col 69}{space 4}-1.265676{col 82}{space 3} 2.416568
{txt}{space 16}lopposition {c |}{col 29}{res}{space 2}-.0962274{col 41}{space 2}   .58352{col 52}{space 1}   -0.16{col 61}{space 3}0.869{col 69}{space 4}-1.239905{col 82}{space 3} 1.047451
{txt}{space 27} {c |}
{space 17}office_exp {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-.5415521{col 41}{space 2} .7681709{col 52}{space 1}   -0.70{col 61}{space 3}0.481{col 69}{space 4}-2.047139{col 82}{space 3} .9640352
{txt}{space 27} {c |}
{space 15}alliance_exp {c |}
{space 24}L1. {c |}{col 29}{res}{space 2} .2830737{col 41}{space 2} 1.572071{col 52}{space 1}    0.18{col 61}{space 3}0.857{col 69}{space 4}-2.798129{col 82}{space 3} 3.364276
{txt}{space 27} {c |}
{space 13}totparlparties {c |}
{space 24}L1. {c |}{col 29}{res}{space 2} .0879022{col 41}{space 2} .0896897{col 52}{space 1}    0.98{col 61}{space 3}0.327{col 69}{space 4}-.0878865{col 82}{space 3} .2636909
{txt}{space 27} {c |}
{space 18}party_age {c |}{col 29}{res}{space 2} .0031061{col 41}{space 2} .0063847{col 52}{space 1}    0.49{col 61}{space 3}0.627{col 69}{space 4}-.0094077{col 82}{space 3} .0156198
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-4.615084{col 41}{space 2} 1.229367{col 52}{space 1}   -3.75{col 61}{space 3}0.000{col 69}{space 4}  -7.0246{col 82}{space 3}-2.205568
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.376051{col 44} 1.434666{col 58} .7276087{col 70} 7.759142
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}29.43{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,811

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4441811{col 26}{space 2} .1423115{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .1652557{col 67}{space 3} .7231064
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1519724{col 26}{space 2} .2843917{col 37}{space 1}    0.53{col 46}{space 3}0.593{col 54}{space 4} -.405425{col 67}{space 3} .7093699
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("Coefficient on interaction term is -.292 (se=.294)") ///
> title(Van de Wardt (2017): Model 2) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmelogit inalliance c.l.pss_mod3##i.niche_party_previous l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties  party_age   if linalliance==0  || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-60.991765}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-51.537442}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -49.99621}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -49.99621}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-49.391868}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-49.386591}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-49.386587}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       794
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         5
{txt}{col 63}avg{col 67}={col 69}{res}      39.7
{txt}{col 63}max{col 67}={col 69}{res}       122

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    21.07
{txt}Log likelihood = {res}-49.386587{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0326

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                      inalliance{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      z{col 66}   P>|z|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}pss_mod3 {c |}
{space 29}L1. {c |}{col 34}{res}{space 2} 2.439192{col 46}{space 2} .6485478{col 57}{space 1}    3.76{col 66}{space 3}0.000{col 74}{space 4} 1.168062{col 87}{space 3} 3.710322
{txt}{space 32} {c |}
{space 12}niche_party_previous {c |}
{space 25}NP t-1  {c |}{col 34}{res}{space 2}-1.817202{col 46}{space 2} 2.393543{col 57}{space 1}   -0.76{col 66}{space 3}0.448{col 74}{space 4}-6.508459{col 87}{space 3} 2.874056
{txt}{space 32} {c |}
niche_party_previous#cL.pss_mod3 {c |}
{space 25}NP t-1  {c |}{col 34}{res}{space 2} .1473199{col 46}{space 2} 1.083771{col 57}{space 1}    0.14{col 66}{space 3}0.892{col 74}{space 4}-1.976833{col 87}{space 3} 2.271473
{txt}{space 32} {c |}
{space 22}vote_share {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}-.0462421{col 46}{space 2} .0518076{col 57}{space 1}   -0.89{col 66}{space 3}0.372{col 74}{space 4}-.1477831{col 87}{space 3} .0552989
{txt}{space 32} {c |}
{space 22}advantager {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}-3.858927{col 46}{space 2} 1.770727{col 57}{space 1}   -2.18{col 66}{space 3}0.029{col 74}{space 4}-7.329488{col 87}{space 3}-.3883666
{txt}{space 32} {c |}
{space 24}norepres {c |}{col 34}{res}{space 2}-5.514086{col 46}{space 2} 2.412233{col 57}{space 1}   -2.29{col 66}{space 3}0.022{col 74}{space 4}-10.24198{col 87}{space 3}-.7861957
{txt}{space 21}lopposition {c |}{col 34}{res}{space 2} 1.505998{col 46}{space 2}  1.12081{col 57}{space 1}    1.34{col 66}{space 3}0.179{col 74}{space 4}-.6907496{col 87}{space 3} 3.702746
{txt}{space 32} {c |}
{space 22}office_exp {c |}
{space 29}L1. {c |}{col 34}{res}{space 2} 1.027895{col 46}{space 2} 1.469332{col 57}{space 1}    0.70{col 66}{space 3}0.484{col 74}{space 4}-1.851943{col 87}{space 3} 3.907732
{txt}{space 32} {c |}
{space 20}alliance_exp {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}-14.24097{col 46}{space 2} 6.403834{col 57}{space 1}   -2.22{col 66}{space 3}0.026{col 74}{space 4}-26.79225{col 87}{space 3}-1.689685
{txt}{space 32} {c |}
{space 18}totparlparties {c |}
{space 29}L1. {c |}{col 34}{res}{space 2}-.3103316{col 46}{space 2}  .228686{col 57}{space 1}   -1.36{col 66}{space 3}0.175{col 74}{space 4}-.7585479{col 87}{space 3} .1378848
{txt}{space 32} {c |}
{space 23}party_age {c |}{col 34}{res}{space 2} .0164903{col 46}{space 2} .0144986{col 57}{space 1}    1.14{col 66}{space 3}0.255{col 74}{space 4}-.0119266{col 87}{space 3} .0449071
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-3.701955{col 46}{space 2}   3.1073{col 57}{space 1}   -1.19{col 66}{space 3}0.234{col 74}{space 4}-9.792151{col 87}{space 3} 2.388241
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 14.15085{col 44} 9.733146{col 58} 3.675485{col 70} 54.48168
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}41.40{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_mod3) at(niche_party_previous=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       794

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_mod3   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.439192{col 26}{space 2} .6485478{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} 1.168062{col 67}{space 3} 3.710322
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.586512{col 26}{space 2}   1.2243{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .1869281{col 67}{space 3} 4.986096
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("Coefficient on interaction term is .147 (se=1.084)") ///
> title(Van de Wardt (2017): Model 3) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmelogit inalliance c.l.pss_cg##i.niche_party_previous l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties  party_age   if linalliance==0  || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-130.59586}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-126.37346}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-126.10274}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-126.10274}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-126.09282}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-126.09278}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-126.09278}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,337
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       20

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        10
{txt}{col 63}avg{col 67}={col 69}{res}      66.8
{txt}{col 63}max{col 67}={col 69}{res}       180

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    21.62
{txt}Log likelihood = {res}-126.09278{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0275

{txt}{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                    inalliance{col 32}{c |}      Coef.{col 44}   Std. Err.{col 56}      z{col 64}   P>|z|{col 72}     [95% Con{col 85}f. Interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}pss_cg {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}  .340957{col 44}{space 2} .1476374{col 55}{space 1}    2.31{col 64}{space 3}0.021{col 72}{space 4}  .051593{col 85}{space 3} .6303209
{txt}{space 30} {c |}
{space 10}niche_party_previous {c |}
{space 23}NP t-1  {c |}{col 32}{res}{space 2} .0698145{col 44}{space 2} .5477844{col 55}{space 1}    0.13{col 64}{space 3}0.899{col 72}{space 4}-1.003823{col 85}{space 3} 1.143452
{txt}{space 30} {c |}
niche_party_previous#cL.pss_cg {c |}
{space 23}NP t-1  {c |}{col 32}{res}{space 2} .0469486{col 44}{space 2} .3087414{col 55}{space 1}    0.15{col 64}{space 3}0.879{col 72}{space 4}-.5581734{col 85}{space 3} .6520705
{txt}{space 30} {c |}
{space 20}vote_share {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}-.0380273{col 44}{space 2} .0257966{col 55}{space 1}   -1.47{col 64}{space 3}0.140{col 72}{space 4}-.0885878{col 85}{space 3} .0125331
{txt}{space 30} {c |}
{space 20}advantager {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}-.4112853{col 44}{space 2} .8641363{col 55}{space 1}   -0.48{col 64}{space 3}0.634{col 72}{space 4}-2.104961{col 85}{space 3} 1.282391
{txt}{space 30} {c |}
{space 22}norepres {c |}{col 32}{res}{space 2} .6946668{col 44}{space 2}  1.03943{col 55}{space 1}    0.67{col 64}{space 3}0.504{col 72}{space 4}-1.342579{col 85}{space 3} 2.731913
{txt}{space 19}lopposition {c |}{col 32}{res}{space 2}-.0039415{col 44}{space 2} .6814382{col 55}{space 1}   -0.01{col 64}{space 3}0.995{col 72}{space 4}-1.339536{col 85}{space 3} 1.331653
{txt}{space 30} {c |}
{space 20}office_exp {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}-.3676371{col 44}{space 2} .8920889{col 55}{space 1}   -0.41{col 64}{space 3}0.680{col 72}{space 4}-2.116099{col 85}{space 3} 1.380825
{txt}{space 30} {c |}
{space 18}alliance_exp {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} 1.329232{col 44}{space 2} 1.569554{col 55}{space 1}    0.85{col 64}{space 3}0.397{col 72}{space 4}-1.747037{col 85}{space 3} 4.405501
{txt}{space 30} {c |}
{space 16}totparlparties {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} .1455413{col 44}{space 2} .0997159{col 55}{space 1}    1.46{col 64}{space 3}0.144{col 72}{space 4}-.0498983{col 85}{space 3} .3409808
{txt}{space 30} {c |}
{space 21}party_age {c |}{col 32}{res}{space 2} .0013209{col 44}{space 2} .0075206{col 55}{space 1}    0.18{col 64}{space 3}0.861{col 72}{space 4}-.0134192{col 85}{space 3}  .016061
{txt}{space 25}_cons {c |}{col 32}{res}{space 2}-4.967482{col 44}{space 2}  1.45184{col 55}{space 1}   -3.42{col 64}{space 3}0.001{col 72}{space 4}-7.813037{col 85}{space 3}-2.121928
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.821425{col 44} 1.837585{col 58} .7871978{col 70} 10.11238
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}19.82{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. 
. margins, dydx(L.pss_cg) at(niche_party_previous=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,337

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss_cg     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .340957{col 26}{space 2} .1476374{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4}  .051593{col 67}{space 3} .6303209
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3879055{col 26}{space 2} .2954337{col 37}{space 1}    1.31{col 46}{space 3}0.189{col 54}{space 4}-.1911338{col 67}{space 3} .9669449
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("Coefficient on interaction term is .047 (se=.309)") ///
> title(Clark & Golder (2006)) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA22.wmf", replace
{txt}
{com}. 
. **Replicate Figure A23 
. 
. preserve
{txt}
{com}. 
. drop if elec_year==elec_year_parl2
{txt}(260 observations deleted)

{com}. 
. firthlogit merger c.pss##i.niche_party party_age  norepres2 office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-111.33286}
rescale:{col 16}penalized log likelihood = {res:-111.33286}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-111.33286}  
Iteration 1:{space 3}penalized log likelihood = {res:-110.00985}  
Iteration 2:{space 3}penalized log likelihood = {res:-104.23733}  
Iteration 3:{space 3}penalized log likelihood = {res:-104.16236}  
Iteration 4:{space 3}penalized log likelihood = {res:-104.16217}  
Iteration 5:{space 3}penalized log likelihood = {res:-104.16217}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,069
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     12.60
{txt}Penalized log likelihood = {res}-104.16217{txt}{col 49}Prob > chi2{col 67}= {res}    0.0824

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           merger{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}pss {c |}{col 19}{res}{space 2}-.0241225{col 31}{space 2}  .168505{col 42}{space 1}   -0.14{col 51}{space 3}0.886{col 59}{space 4}-.3543862{col 72}{space 3} .3061413
{txt}{space 17} {c |}
{space 6}niche_party {c |}
{space 14}NP  {c |}{col 19}{res}{space 2} .5756671{col 31}{space 2}  .466245{col 42}{space 1}    1.23{col 51}{space 3}0.217{col 59}{space 4}-.3381564{col 72}{space 3} 1.489491
{txt}{space 17} {c |}
niche_party#c.pss {c |}
{space 14}NP  {c |}{col 19}{res}{space 2}-.0651946{col 31}{space 2} .3512594{col 42}{space 1}   -0.19{col 51}{space 3}0.853{col 59}{space 4}-.7536505{col 72}{space 3} .6232612
{txt}{space 17} {c |}
{space 8}party_age {c |}{col 19}{res}{space 2}-.0200236{col 31}{space 2} .0086729{col 42}{space 1}   -2.31{col 51}{space 3}0.021{col 59}{space 4}-.0370222{col 72}{space 3}-.0030251
{txt}{space 8}norepres2 {c |}{col 19}{res}{space 2} .3779838{col 31}{space 2} .8766982{col 42}{space 1}    0.43{col 51}{space 3}0.666{col 59}{space 4}-1.340313{col 72}{space 3} 2.096281
{txt}{space 7}office_exp {c |}{col 19}{res}{space 2}-.1472671{col 31}{space 2} .5880993{col 42}{space 1}   -0.25{col 51}{space 3}0.802{col 59}{space 4}-1.299921{col 72}{space 3} 1.005386
{txt}{space 5}alliance_exp {c |}{col 19}{res}{space 2} 1.217538{col 31}{space 2} .5586795{col 42}{space 1}    2.18{col 51}{space 3}0.029{col 59}{space 4}  .122546{col 72}{space 3} 2.312529
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-3.994201{col 31}{space 2} .3888665{col 42}{space 1}  -10.27{col 51}{space 3}0.000{col 59}{space 4}-4.756366{col 72}{space 3}-3.232037
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, dydx(pss) at(niche_party=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,069
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0241225{col 26}{space 2}  .168505{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.3543862{col 67}{space 3} .3061413
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0893171{col 26}{space 2} .3105194{col 37}{space 1}   -0.29{col 46}{space 3}0.774{col 54}{space 4} -.697924{col 67}{space 3} .5192898
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("Coefficient on interaction term is -.066 (se=.351)") ///
> title(Van de Wardt (2017): Model 2) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. firthlogit merger c.pss_mod3##i.niche_party party_age  norepres2 office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-51.915503}
rescale:{col 16}penalized log likelihood = {res:-51.915503}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-51.915503}  
Iteration 1:{space 3}penalized log likelihood = {res:-49.839997}  
Iteration 2:{space 3}penalized log likelihood = {res:-43.674285}  
Iteration 3:{space 3}penalized log likelihood = {res:-43.595003}  
Iteration 4:{space 3}penalized log likelihood = {res:-43.594547}  
Iteration 5:{space 3}penalized log likelihood = {res:-43.594547}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}       933
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     17.14
{txt}Penalized log likelihood = {res}-43.594547{txt}{col 49}Prob > chi2{col 67}= {res}    0.0165

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                merger{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}pss_mod3 {c |}{col 24}{res}{space 2}-.1348584{col 36}{space 2} .2923367{col 47}{space 1}   -0.46{col 56}{space 3}0.645{col 64}{space 4}-.7078278{col 77}{space 3} .4381109
{txt}{space 22} {c |}
{space 11}niche_party {c |}
{space 19}NP  {c |}{col 24}{res}{space 2} 1.356997{col 36}{space 2} .5963497{col 47}{space 1}    2.28{col 56}{space 3}0.023{col 64}{space 4} .1881735{col 77}{space 3} 2.525821
{txt}{space 22} {c |}
niche_party#c.pss_mod3 {c |}
{space 19}NP  {c |}{col 24}{res}{space 2}-.2400845{col 36}{space 2}  .412122{col 47}{space 1}   -0.58{col 56}{space 3}0.560{col 64}{space 4}-1.047829{col 77}{space 3} .5676599
{txt}{space 22} {c |}
{space 13}party_age {c |}{col 24}{res}{space 2}-.0056144{col 36}{space 2} .0086994{col 47}{space 1}   -0.65{col 56}{space 3}0.519{col 64}{space 4} -.022665{col 77}{space 3} .0114362
{txt}{space 13}norepres2 {c |}{col 24}{res}{space 2} .4012495{col 36}{space 2} 1.497765{col 47}{space 1}    0.27{col 56}{space 3}0.789{col 64}{space 4}-2.534317{col 77}{space 3} 3.336816
{txt}{space 12}office_exp {c |}{col 24}{res}{space 2} .1442611{col 36}{space 2} .9292332{col 47}{space 1}    0.16{col 56}{space 3}0.877{col 64}{space 4}-1.677002{col 77}{space 3} 1.965525
{txt}{space 10}alliance_exp {c |}{col 24}{res}{space 2} 2.059333{col 36}{space 2} .6642244{col 47}{space 1}    3.10{col 56}{space 3}0.002{col 64}{space 4}  .757477{col 77}{space 3} 3.361189
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-4.845488{col 36}{space 2} .6321774{col 47}{space 1}   -7.66{col 56}{space 3}0.000{col 64}{space 4}-6.084533{col 77}{space 3}-3.606443
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, dydx(pss_mod3) at(niche_party=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}       933
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss_mod3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss_mod3     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1348584{col 26}{space 2} .2923367{col 37}{space 1}   -0.46{col 46}{space 3}0.645{col 54}{space 4}-.7078278{col 67}{space 3} .4381109
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.3749429{col 26}{space 2} .3087197{col 37}{space 1}   -1.21{col 46}{space 3}0.225{col 54}{space 4}-.9800224{col 67}{space 3} .2301365
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("Coefficient on interaction term is -.240 (se=.412)") ///
> title(Van de Wardt (2017): Model 3) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. firthlogit merger c.pss_cg##i.niche_party party_age  norepres2 office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-109.28912}
rescale:{col 16}penalized log likelihood = {res:-109.28912}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-109.28912}  
Iteration 1:{space 3}penalized log likelihood = {res:-102.07302}  
Iteration 2:{space 3}penalized log likelihood = {res:-100.11251}  
Iteration 3:{space 3}penalized log likelihood = {res:-100.05321}  
Iteration 4:{space 3}penalized log likelihood = {res:-100.05301}  
Iteration 5:{space 3}penalized log likelihood = {res:-100.05301}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,546
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     17.60
{txt}Penalized log likelihood = {res}-100.05301{txt}{col 49}Prob > chi2{col 67}= {res}    0.0139

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              merger{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}pss_cg {c |}{col 22}{res}{space 2}-.0773919{col 34}{space 2} .2039679{col 45}{space 1}   -0.38{col 54}{space 3}0.704{col 62}{space 4}-.4771615{col 75}{space 3} .3223778
{txt}{space 20} {c |}
{space 9}niche_party {c |}
{space 17}NP  {c |}{col 22}{res}{space 2} .7201676{col 34}{space 2} .4584711{col 45}{space 1}    1.57{col 54}{space 3}0.116{col 62}{space 4}-.1784192{col 75}{space 3} 1.618754
{txt}{space 20} {c |}
niche_party#c.pss_cg {c |}
{space 17}NP  {c |}{col 22}{res}{space 2}   .28957{col 34}{space 2} .3381179{col 45}{space 1}    0.86{col 54}{space 3}0.392{col 62}{space 4}-.3731288{col 75}{space 3} .9522689
{txt}{space 20} {c |}
{space 11}party_age {c |}{col 22}{res}{space 2}-.0216424{col 34}{space 2} .0088427{col 45}{space 1}   -2.45{col 54}{space 3}0.014{col 62}{space 4}-.0389738{col 75}{space 3}-.0043109
{txt}{space 11}norepres2 {c |}{col 22}{res}{space 2} .2981298{col 34}{space 2} .8782615{col 45}{space 1}    0.34{col 54}{space 3}0.734{col 62}{space 4}-1.423231{col 75}{space 3} 2.019491
{txt}{space 10}office_exp {c |}{col 22}{res}{space 2}-.0603178{col 34}{space 2} .5836623{col 45}{space 1}   -0.10{col 54}{space 3}0.918{col 62}{space 4}-1.204275{col 75}{space 3} 1.083639
{txt}{space 8}alliance_exp {c |}{col 22}{res}{space 2} 1.247006{col 34}{space 2} .5442087{col 45}{space 1}    2.29{col 54}{space 3}0.022{col 62}{space 4} .1803769{col 75}{space 3} 2.313636
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-3.724375{col 34}{space 2} .3809408{col 45}{space 1}   -9.78{col 54}{space 3}0.000{col 62}{space 4}-4.471005{col 75}{space 3}-2.977745
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, dydx(pss_cg) at(niche_party=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,546
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss_cg}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss_cg       {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0773919{col 26}{space 2} .2039679{col 37}{space 1}   -0.38{col 46}{space 3}0.704{col 54}{space 4}-.4771615{col 67}{space 3} .3223778
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2121782{col 26}{space 2} .2755293{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.3278492{col 67}{space 3} .7522056
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("Coefficient on interaction term is .290 (se=.338)") ///
> title(Clark & Golder (2006)) ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. restore
{txt}
{com}. 
. graph combine a b c , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA23.wmf", replace
{txt}
{com}. 
. **Replicate Table A13 and Figure A24
. 
. preserve
{txt}
{com}. 
. drop if elec_year==elec_year_parl2
{txt}(260 observations deleted)

{com}. 
. firthlogit merger pss party_age advantager norepres2 opposition office_exp alliance_exp lr_extremity reg_cost party_fin ln_petit niche_party_meguid
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-44.004699}
rescale:{col 16}penalized log likelihood = {res:-44.004699}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-44.004699}  (not concave)
Iteration 1:{space 3}penalized log likelihood = {res:-42.506011}  (not concave)
Iteration 2:{space 3}penalized log likelihood = {res:-38.791582}  
Iteration 3:{space 3}penalized log likelihood = {res:-37.577836}  
Iteration 4:{space 3}penalized log likelihood = {res:-37.471538}  
Iteration 5:{space 3}penalized log likelihood = {res:-37.471299}  
Iteration 6:{space 3}penalized log likelihood = {res:-37.471299}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,320
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}      9.95
{txt}Penalized log likelihood = {res}-37.471299{txt}{col 49}Prob > chi2{col 67}= {res}    0.6204

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}{col 20}{res}{space 2} .0442216{col 32}{space 2} .2382164{col 43}{space 1}    0.19{col 52}{space 3}0.853{col 60}{space 4} -.422674{col 73}{space 3} .5111171
{txt}{space 9}party_age {c |}{col 20}{res}{space 2}-.0159364{col 32}{space 2} .0135866{col 43}{space 1}   -1.17{col 52}{space 3}0.241{col 60}{space 4}-.0425658{col 73}{space 3} .0106929
{txt}{space 8}advantager {c |}{col 20}{res}{space 2} .1978247{col 32}{space 2} .1464831{col 43}{space 1}    1.35{col 52}{space 3}0.177{col 60}{space 4}-.0892768{col 73}{space 3} .4849263
{txt}{space 9}norepres2 {c |}{col 20}{res}{space 2} 1.357461{col 32}{space 2} .8498724{col 43}{space 1}    1.60{col 52}{space 3}0.110{col 60}{space 4}-.3082586{col 73}{space 3}  3.02318
{txt}{space 8}opposition {c |}{col 20}{res}{space 2} .8042478{col 32}{space 2} 1.069942{col 43}{space 1}    0.75{col 52}{space 3}0.452{col 60}{space 4}  -1.2928{col 73}{space 3} 2.901296
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2}  .888479{col 32}{space 2} 1.530656{col 43}{space 1}    0.58{col 52}{space 3}0.562{col 60}{space 4}-2.111551{col 73}{space 3} 3.888509
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} .7028511{col 32}{space 2} 1.086521{col 43}{space 1}    0.65{col 52}{space 3}0.518{col 60}{space 4}-1.426692{col 73}{space 3} 2.832394
{txt}{space 6}lr_extremity {c |}{col 20}{res}{space 2} .0229422{col 32}{space 2} .2060635{col 43}{space 1}    0.11{col 52}{space 3}0.911{col 60}{space 4}-.3809349{col 73}{space 3} .4268193
{txt}{space 10}reg_cost {c |}{col 20}{res}{space 2} .2409826{col 32}{space 2} 2.430775{col 43}{space 1}    0.10{col 52}{space 3}0.921{col 60}{space 4}-4.523248{col 73}{space 3} 5.005214
{txt}{space 9}party_fin {c |}{col 20}{res}{space 2}-.1213443{col 32}{space 2} .6808032{col 43}{space 1}   -0.18{col 52}{space 3}0.859{col 60}{space 4}-1.455694{col 73}{space 3} 1.213006
{txt}{space 10}ln_petit {c |}{col 20}{res}{space 2}-.0756274{col 32}{space 2} .2062608{col 43}{space 1}   -0.37{col 52}{space 3}0.714{col 60}{space 4}-.4798912{col 73}{space 3} .3286363
{txt}niche_party_meguid {c |}{col 20}{res}{space 2} .6480181{col 32}{space 2} .7606717{col 43}{space 1}    0.85{col 52}{space 3}0.394{col 60}{space 4}-.8428712{col 73}{space 3} 2.138907
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-5.270311{col 32}{space 2}  1.42515{col 43}{space 1}   -3.70{col 52}{space 3}0.000{col 60}{space 4}-8.063553{col 73}{space 3}-2.477068
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod1
{txt}
{com}. firthfit
{txt}(2,613 missing values generated)
(2,613 missing values generated)
(2,613 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -44.005}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -37.471}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    100.943}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    168.353}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.010}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.153}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:     -0.007}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.148}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:     -0.147}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.181}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.009}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger pss party_age norepres2 opposition office_exp alliance_exp  niche_party_meguid
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-220.74185}
rescale:{col 16}penalized log likelihood = {res:-220.74185}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-220.74185}  
Iteration 1:{space 3}penalized log likelihood = {res:  -215.287}  
Iteration 2:{space 3}penalized log likelihood = {res:-201.25167}  
Iteration 3:{space 3}penalized log likelihood = {res:-201.06707}  
Iteration 4:{space 3}penalized log likelihood = {res:-201.06668}  
Iteration 5:{space 3}penalized log likelihood = {res:-201.06668}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,558
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     35.83
{txt}Penalized log likelihood = {res}-201.06668{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}{col 20}{res}{space 2} .0432834{col 32}{space 2} .0975395{col 43}{space 1}    0.44{col 52}{space 3}0.657{col 60}{space 4}-.1478905{col 73}{space 3} .2344574
{txt}{space 9}party_age {c |}{col 20}{res}{space 2}-.0195711{col 32}{space 2} .0065801{col 43}{space 1}   -2.97{col 52}{space 3}0.003{col 60}{space 4}-.0324678{col 73}{space 3}-.0066743
{txt}{space 9}norepres2 {c |}{col 20}{res}{space 2}-.2681331{col 32}{space 2} .4496244{col 43}{space 1}   -0.60{col 52}{space 3}0.551{col 60}{space 4}-1.149381{col 73}{space 3} .6131145
{txt}{space 8}opposition {c |}{col 20}{res}{space 2} 1.328627{col 32}{space 2} .6061003{col 43}{space 1}    2.19{col 52}{space 3}0.028{col 60}{space 4} .1406921{col 73}{space 3} 2.516562
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2} .1134472{col 32}{space 2} .6881893{col 43}{space 1}    0.16{col 52}{space 3}0.869{col 60}{space 4}-1.235379{col 73}{space 3} 1.462273
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} 1.122454{col 32}{space 2} .3781218{col 43}{space 1}    2.97{col 52}{space 3}0.003{col 60}{space 4}  .381349{col 73}{space 3} 1.863559
{txt}niche_party_meguid {c |}{col 20}{res}{space 2}-.8905077{col 32}{space 2} .3672115{col 43}{space 1}   -2.43{col 52}{space 3}0.015{col 60}{space 4}-1.610229{col 73}{space 3}-.1707863
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-4.313304{col 32}{space 2} .6707554{col 43}{space 1}   -6.43{col 52}{space 3}0.000{col 60}{space 4} -5.62796{col 73}{space 3}-2.998647
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod2
{txt}
{com}. firthfit
{txt}(1,375 missing values generated)
(1,375 missing values generated)
(1,375 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -220.742}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -201.067}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    418.133}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    464.909}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.096}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.024}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.089}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.053}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.234}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.024}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger c.pss##c.party_age norepres2 opposition office_exp alliance_exp niche_party_meguid 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-215.08899}
rescale:{col 16}penalized log likelihood = {res:-215.08899}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-215.08899}  
Iteration 1:{space 3}penalized log likelihood = {res:-209.35688}  
Iteration 2:{space 3}penalized log likelihood = {res:-193.57692}  
Iteration 3:{space 3}penalized log likelihood = {res:-193.28021}  
Iteration 4:{space 3}penalized log likelihood = {res:-193.27869}  
Iteration 5:{space 3}penalized log likelihood = {res:-193.27869}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,558
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     37.39
{txt}Penalized log likelihood = {res}-193.27869{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}{col 20}{res}{space 2}-.1250948{col 32}{space 2} .1263625{col 43}{space 1}   -0.99{col 52}{space 3}0.322{col 60}{space 4}-.3727609{col 73}{space 3} .1225712
{txt}{space 9}party_age {c |}{col 20}{res}{space 2}-.0257798{col 32}{space 2} .0078758{col 43}{space 1}   -3.27{col 52}{space 3}0.001{col 60}{space 4}-.0412161{col 73}{space 3}-.0103435
{txt}{space 18} {c |}
{space 1}c.pss#c.party_age {c |}{col 20}{res}{space 2} .0100984{col 32}{space 2} .0042798{col 43}{space 1}    2.36{col 52}{space 3}0.018{col 60}{space 4} .0017102{col 73}{space 3} .0184867
{txt}{space 18} {c |}
{space 9}norepres2 {c |}{col 20}{res}{space 2}-.2861474{col 32}{space 2} .4491921{col 43}{space 1}   -0.64{col 52}{space 3}0.524{col 60}{space 4}-1.166548{col 73}{space 3} .5942529
{txt}{space 8}opposition {c |}{col 20}{res}{space 2} 1.319755{col 32}{space 2} .6076608{col 43}{space 1}    2.17{col 52}{space 3}0.030{col 60}{space 4} .1287613{col 73}{space 3} 2.510748
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2} .0933855{col 32}{space 2} .6933948{col 43}{space 1}    0.13{col 52}{space 3}0.893{col 60}{space 4}-1.265643{col 73}{space 3} 1.452414
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} 1.195072{col 32}{space 2} .3775305{col 43}{space 1}    3.17{col 52}{space 3}0.002{col 60}{space 4} .4551253{col 73}{space 3} 1.935018
{txt}niche_party_meguid {c |}{col 20}{res}{space 2}-.9028328{col 32}{space 2} .3666734{col 43}{space 1}   -2.46{col 52}{space 3}0.014{col 60}{space 4}-1.621499{col 73}{space 3}-.1841662
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} -4.21526{col 32}{space 2} .6715398{col 43}{space 1}   -6.28{col 52}{space 3}0.000{col 60}{space 4}-5.531453{col 73}{space 3}-2.899066
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod3
{txt}
{com}. firthfit
{txt}(1,375 missing values generated)
(1,375 missing values generated)
(1,375 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -215.089}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -193.279}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    404.557}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    457.180}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.017}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.109}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.031}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.101}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.060}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.298}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.029}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,558
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{space 8}176  {c |}{col 14}{res}{space 2}  1.64213{col 26}{space 2} .6743248{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .3204781{col 67}{space 3} 2.963783
{txt}{space 8}177  {c |}{col 14}{res}{space 2} 1.652229{col 26}{space 2} .6785608{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4}  .322274{col 67}{space 3} 2.982183
{txt}{space 8}178  {c |}{col 14}{res}{space 2} 1.662327{col 26}{space 2} .6827973{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .3240689{col 67}{space 3} 3.000585
{txt}{space 8}179  {c |}{col 14}{res}{space 2} 1.672426{col 26}{space 2} .6870344{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .3258628{col 67}{space 3} 3.018988
{txt}{space 8}180  {c |}{col 14}{res}{space 2} 1.682524{col 26}{space 2} .6912721{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .3276556{col 67}{space 3} 3.037392
{txt}{space 8}181  {c |}{col 14}{res}{space 2} 1.692622{col 26}{space 2} .6955102{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .3294474{col 67}{space 3} 3.055797
{txt}{space 8}182  {c |}{col 14}{res}{space 2} 1.702721{col 26}{space 2} .6997489{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .3312383{col 67}{space 3} 3.074203
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(1,375 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(3,751 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. firthlogit merger c.pss##c.vote_share party_age norepres2 opposition office_exp alliance_exp niche_party_meguid 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-165.88339}
rescale:{col 16}penalized log likelihood = {res:-165.88339}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-165.88339}  
Iteration 1:{space 3}penalized log likelihood = {res:-153.37622}  
Iteration 2:{space 3}penalized log likelihood = {res:-145.75312}  
Iteration 3:{space 3}penalized log likelihood = {res:-145.33252}  
Iteration 4:{space 3}penalized log likelihood = {res:-145.31449}  
Iteration 5:{space 3}penalized log likelihood = {res:-145.31445}  
Iteration 6:{space 3}penalized log likelihood = {res:-145.31445}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,403
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}     26.07
{txt}Penalized log likelihood = {res}-145.31445{txt}{col 49}Prob > chi2{col 67}= {res}    0.0020

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}{col 20}{res}{space 2}-.0708284{col 32}{space 2} .1580937{col 43}{space 1}   -0.45{col 52}{space 3}0.654{col 60}{space 4}-.3806863{col 73}{space 3} .2390295
{txt}{space 8}vote_share {c |}{col 20}{res}{space 2}-.0898519{col 32}{space 2} .0352236{col 43}{space 1}   -2.55{col 52}{space 3}0.011{col 60}{space 4}-.1588889{col 73}{space 3}-.0208148
{txt}{space 18} {c |}
c.pss#c.vote_share {c |}{col 20}{res}{space 2} .0158374{col 32}{space 2} .0227079{col 43}{space 1}    0.70{col 52}{space 3}0.486{col 60}{space 4}-.0286694{col 73}{space 3} .0603441
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2}-.0250456{col 32}{space 2} .0090383{col 43}{space 1}   -2.77{col 52}{space 3}0.006{col 60}{space 4}-.0427604{col 73}{space 3}-.0073308
{txt}{space 9}norepres2 {c |}{col 20}{res}{space 2}-.6205518{col 32}{space 2} .4893183{col 43}{space 1}   -1.27{col 52}{space 3}0.205{col 60}{space 4}-1.579598{col 73}{space 3} .3384945
{txt}{space 8}opposition {c |}{col 20}{res}{space 2} 1.005861{col 32}{space 2} .7295498{col 43}{space 1}    1.38{col 52}{space 3}0.168{col 60}{space 4}  -.42403{col 73}{space 3} 2.435753
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2} 1.019301{col 32}{space 2} .8446065{col 43}{space 1}    1.21{col 52}{space 3}0.227{col 60}{space 4}-.6360975{col 73}{space 3} 2.674699
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} .5227849{col 32}{space 2} .5863347{col 43}{space 1}    0.89{col 52}{space 3}0.373{col 60}{space 4}-.6264101{col 73}{space 3}  1.67198
{txt}niche_party_meguid {c |}{col 20}{res}{space 2}-.9753984{col 32}{space 2} .3937445{col 43}{space 1}   -2.48{col 52}{space 3}0.013{col 60}{space 4}-1.747123{col 73}{space 3}-.2036734
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-3.453303{col 32}{space 2} .8128543{col 43}{space 1}   -4.25{col 52}{space 3}0.000{col 60}{space 4}-5.046469{col 73}{space 3}-1.860138
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod4
{txt}
{com}. firthfit
{txt}(1,530 missing values generated)
(1,530 missing values generated)
(1,530 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -165.883}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -145.314}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    310.629}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    368.474}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.017}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.132}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.019}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.124}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.064}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.476}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.022}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss) at(vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,403
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0708284{col 26}{space 2} .1580937{col 37}{space 1}   -0.45{col 46}{space 3}0.654{col 54}{space 4}-.3806863{col 67}{space 3} .2390295
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0549911{col 26}{space 2} .1425929{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.3344681{col 67}{space 3}  .224486
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0391537{col 26}{space 2} .1292408{col 37}{space 1}   -0.30{col 46}{space 3}0.762{col 54}{space 4}-.2924611{col 67}{space 3} .2141536
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0233164{col 26}{space 2} .1187642{col 37}{space 1}   -0.20{col 46}{space 3}0.844{col 54}{space 4}-.2560899{col 67}{space 3} .2094572
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.007479{col 26}{space 2} .1119731{col 37}{space 1}   -0.07{col 46}{space 3}0.947{col 54}{space 4}-.2269422{col 67}{space 3} .2119842
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0083583{col 26}{space 2} .1095551{col 37}{space 1}    0.08{col 46}{space 3}0.939{col 54}{space 4}-.2063656{col 67}{space 3} .2230823
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0241957{col 26}{space 2} .1117942{col 37}{space 1}    0.22{col 46}{space 3}0.829{col 54}{space 4} -.194917{col 67}{space 3} .2433084
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .040033{col 26}{space 2} .1184267{col 37}{space 1}    0.34{col 46}{space 3}0.735{col 54}{space 4}-.1920791{col 67}{space 3} .2721451
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0558704{col 26}{space 2} .1287755{col 37}{space 1}    0.43{col 46}{space 3}0.664{col 54}{space 4}-.1965249{col 67}{space 3} .3082657
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0717077{col 26}{space 2} .1420305{col 37}{space 1}    0.50{col 46}{space 3}0.614{col 54}{space 4}-.2066669{col 67}{space 3} .3500824
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0875451{col 26}{space 2} .1574595{col 37}{space 1}    0.56{col 46}{space 3}0.578{col 54}{space 4}-.2210699{col 67}{space 3} .3961601
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .1033824{col 26}{space 2} .1744868{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.2386054{col 67}{space 3} .4453702
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .1192198{col 26}{space 2}  .192689{col 37}{space 1}    0.62{col 46}{space 3}0.536{col 54}{space 4}-.2584438{col 67}{space 3} .4968834
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .1350571{col 26}{space 2} .2117635{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4}-.2799918{col 67}{space 3} .5501061
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .1508945{col 26}{space 2} .2314948{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-.3028269{col 67}{space 3} .6046159
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .1667318{col 26}{space 2} .2517284{col 37}{space 1}    0.66{col 46}{space 3}0.508{col 54}{space 4}-.3266467{col 67}{space 3} .6601103
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .1825692{col 26}{space 2} .2723523{col 37}{space 1}    0.67{col 46}{space 3}0.503{col 54}{space 4}-.3512316{col 67}{space 3}   .71637
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .1984065{col 26}{space 2} .2932844{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.3764203{col 67}{space 3} .7732333
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .2142439{col 26}{space 2}  .314463{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-.4020922{col 67}{space 3}   .83058
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .2300812{col 26}{space 2} .3358415{col 37}{space 1}    0.69{col 46}{space 3}0.493{col 54}{space 4}-.4281559{col 67}{space 3} .8883184
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .2459186{col 26}{space 2}  .357384{col 37}{space 1}    0.69{col 46}{space 3}0.491{col 54}{space 4}-.4545411{col 67}{space 3} .9463783
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .2617559{col 26}{space 2} .3790626{col 37}{space 1}    0.69{col 46}{space 3}0.490{col 54}{space 4}-.4811931{col 67}{space 3} 1.004705
{txt}{space 9}23  {c |}{col 14}{res}{space 2} .2775933{col 26}{space 2} .4008552{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.5080684{col 67}{space 3} 1.063255
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .2934306{col 26}{space 2} .4227441{col 37}{space 1}    0.69{col 46}{space 3}0.488{col 54}{space 4}-.5351326{col 67}{space 3} 1.121994
{txt}{space 9}25  {c |}{col 14}{res}{space 2}  .309268{col 26}{space 2} .4447152{col 37}{space 1}    0.70{col 46}{space 3}0.487{col 54}{space 4}-.5623578{col 67}{space 3} 1.180894
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .3251053{col 26}{space 2} .4667568{col 37}{space 1}    0.70{col 46}{space 3}0.486{col 54}{space 4}-.5897212{col 67}{space 3} 1.239932
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .3409427{col 26}{space 2} .4888594{col 37}{space 1}    0.70{col 46}{space 3}0.486{col 54}{space 4}-.6172042{col 67}{space 3}  1.29909
{txt}{space 9}28  {c |}{col 14}{res}{space 2}   .35678{col 26}{space 2} .5110151{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-.6447912{col 67}{space 3} 1.358351
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .3726174{col 26}{space 2} .5332173{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-.6724693{col 67}{space 3} 1.417704
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .3884547{col 26}{space 2} .5554604{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.7002276{col 67}{space 3} 1.477137
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .4042921{col 26}{space 2} .5777396{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.7280567{col 67}{space 3} 1.536641
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .4201294{col 26}{space 2}  .600051{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.7559488{col 67}{space 3} 1.596208
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .4359668{col 26}{space 2}  .622391{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.7838972{col 67}{space 3} 1.655831
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .4518041{col 26}{space 2} .6447568{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.8118959{col 67}{space 3} 1.715504
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .4676415{col 26}{space 2} .6671456{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.8399399{col 67}{space 3} 1.775223
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .4834788{col 26}{space 2} .6895554{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.8680249{col 67}{space 3} 1.834983
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .4993162{col 26}{space 2}  .711984{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.8961468{col 67}{space 3} 1.894779
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .5151535{col 26}{space 2} .7344298{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.9243024{col 67}{space 3}  1.95461
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .5309909{col 26}{space 2} .7568912{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.9524887{col 67}{space 3}  2.01447
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .5468282{col 26}{space 2}  .779367{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.9807029{col 67}{space 3} 2.074359
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .5626656{col 26}{space 2} .8018558{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.008943{col 67}{space 3} 2.134274
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .5785029{col 26}{space 2} .8243566{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.037206{col 67}{space 3} 2.194212
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .5943403{col 26}{space 2} .8468685{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.065491{col 67}{space 3} 2.254172
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .6101776{col 26}{space 2} .8693905{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.093796{col 67}{space 3} 2.314152
{txt}{space 9}45  {c |}{col 14}{res}{space 2}  .626015{col 26}{space 2}  .891922{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4} -1.12212{col 67}{space 3}  2.37415
{txt}{space 9}46  {c |}{col 14}{res}{space 2} .6418523{col 26}{space 2} .9144623{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.150461{col 67}{space 3} 2.434165
{txt}{space 9}47  {c |}{col 14}{res}{space 2} .6576897{col 26}{space 2} .9370106{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.178817{col 67}{space 3} 2.494197
{txt}{space 9}48  {c |}{col 14}{res}{space 2}  .673527{col 26}{space 2} .9595664{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.207189{col 67}{space 3} 2.554243
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .6893644{col 26}{space 2} .9821293{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.235574{col 67}{space 3} 2.614302
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .7052017{col 26}{space 2} 1.004699{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.263971{col 67}{space 3} 2.674375
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .7210391{col 26}{space 2} 1.027274{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.292381{col 67}{space 3} 2.734459
{txt}{space 9}52  {c |}{col 14}{res}{space 2} .7368764{col 26}{space 2} 1.049855{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.320802{col 67}{space 3} 2.794555
{txt}{space 9}53  {c |}{col 14}{res}{space 2} .7527138{col 26}{space 2} 1.072442{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.349234{col 67}{space 3} 2.854661
{txt}{space 9}54  {c |}{col 14}{res}{space 2} .7685511{col 26}{space 2} 1.095034{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.377675{col 67}{space 3} 2.914777
{txt}{space 9}55  {c |}{col 14}{res}{space 2} .7843885{col 26}{space 2}  1.11763{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.406126{col 67}{space 3} 2.974903
{txt}{space 9}56  {c |}{col 14}{res}{space 2} .8002258{col 26}{space 2} 1.140231{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.434585{col 67}{space 3} 3.035037
{txt}{space 9}57  {c |}{col 14}{res}{space 2} .8160632{col 26}{space 2} 1.162835{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.463052{col 67}{space 3} 3.095179
{txt}{space 9}58  {c |}{col 14}{res}{space 2} .8319005{col 26}{space 2} 1.185444{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.491528{col 67}{space 3} 3.155329
{txt}{space 9}59  {c |}{col 14}{res}{space 2} .8477379{col 26}{space 2} 1.208057{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4} -1.52001{col 67}{space 3} 3.215486
{txt}{space 9}60  {c |}{col 14}{res}{space 2} .8635752{col 26}{space 2} 1.230673{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.548499{col 67}{space 3}  3.27565
{txt}{space 9}61  {c |}{col 14}{res}{space 2} .8794126{col 26}{space 2} 1.253292{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-1.576995{col 67}{space 3}  3.33582
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(1,530 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(3,872 missing values generated)

{com}. 
. twoway hist vote_share if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. firthlogit merger c.pss##i.opposition party_age norepres2 office_exp alliance_exp niche_party_meguid
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-219.22754}
rescale:{col 16}penalized log likelihood = {res:-219.22754}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-219.22754}  
Iteration 1:{space 3}penalized log likelihood = {res:-214.20537}  
Iteration 2:{space 3}penalized log likelihood = {res:-199.52383}  
Iteration 3:{space 3}penalized log likelihood = {res: -199.3044}  
Iteration 4:{space 3}penalized log likelihood = {res:-199.30374}  
Iteration 5:{space 3}penalized log likelihood = {res:-199.30374}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,558
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     35.06
{txt}Penalized log likelihood = {res}-199.30374{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}{col 20}{res}{space 2}  .241174{col 32}{space 2} .2258411{col 43}{space 1}    1.07{col 52}{space 3}0.286{col 60}{space 4}-.2014664{col 73}{space 3} .6838145
{txt}{space 18} {c |}
{space 8}opposition {c |}
{space 7}Opposition  {c |}{col 20}{res}{space 2} 1.461884{col 32}{space 2} .6546911{col 43}{space 1}    2.23{col 52}{space 3}0.026{col 60}{space 4} .1787126{col 73}{space 3} 2.745055
{txt}{space 18} {c |}
{space 2}opposition#c.pss {c |}
{space 7}Opposition  {c |}{col 20}{res}{space 2}-.2293597{col 32}{space 2} .2480944{col 43}{space 1}   -0.92{col 52}{space 3}0.355{col 60}{space 4}-.7156158{col 73}{space 3} .2568964
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2}-.0194158{col 32}{space 2} .0065951{col 43}{space 1}   -2.94{col 52}{space 3}0.003{col 60}{space 4} -.032342{col 73}{space 3}-.0064895
{txt}{space 9}norepres2 {c |}{col 20}{res}{space 2}-.2741528{col 32}{space 2} .4496732{col 43}{space 1}   -0.61{col 52}{space 3}0.542{col 60}{space 4}-1.155496{col 73}{space 3} .6071905
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2} .1068983{col 32}{space 2} .6903074{col 43}{space 1}    0.15{col 52}{space 3}0.877{col 60}{space 4}-1.246079{col 73}{space 3} 1.459876
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} 1.119178{col 32}{space 2} .3771295{col 43}{space 1}    2.97{col 52}{space 3}0.003{col 60}{space 4}  .380018{col 73}{space 3} 1.858339
{txt}niche_party_meguid {c |}{col 20}{res}{space 2}-.8900492{col 32}{space 2} .3669142{col 43}{space 1}   -2.43{col 52}{space 3}0.015{col 60}{space 4}-1.609188{col 73}{space 3}-.1709105
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-4.434963{col 32}{space 2} .7144551{col 43}{space 1}   -6.21{col 52}{space 3}0.000{col 60}{space 4}-5.835269{col 73}{space 3}-3.034657
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod5
{txt}
{com}. firthfit
{txt}(1,375 missing values generated)
(1,375 missing values generated)
(1,375 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -219.228}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -199.304}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    420.607}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    484.924}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.098}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.023}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.091}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.041}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.245}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.023}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss) at(opposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,558
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .241174{col 26}{space 2} .2258411{col 37}{space 1}    1.07{col 46}{space 3}0.286{col 54}{space 4}-.2014664{col 67}{space 3} .6838145
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0118143{col 26}{space 2} .1062563{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4}-.1964443{col 67}{space 3}  .220073
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: opposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA24.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA13.csv", replace
{txt}
{com}. 
. restore
{txt}
{com}. 
. **Replicate Table A14 and Figure A25
. 
. preserve
{txt}
{com}. 
. drop if elec_year==elec_year_parl2
{txt}(260 observations deleted)

{com}. 
. firthlogit merger pss party_age advantager norepres2 opposition office_exp alliance_exp lr_extremity reg_cost party_fin ln_petit niche_party
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-36.192345}
rescale:{col 16}penalized log likelihood = {res:-36.192345}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-36.192345}  (not concave)
Iteration 1:{space 3}penalized log likelihood = {res: -33.95584}  
Iteration 2:{space 3}penalized log likelihood = {res:-29.501069}  
Iteration 3:{space 3}penalized log likelihood = {res:-27.405021}  
Iteration 4:{space 3}penalized log likelihood = {res:-27.258772}  
Iteration 5:{space 3}penalized log likelihood = {res:-27.254434}  
Iteration 6:{space 3}penalized log likelihood = {res:-27.254428}  
Iteration 7:{space 3}penalized log likelihood = {res:-27.254428}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,424
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     11.65
{txt}Penalized log likelihood = {res}-27.254428{txt}{col 49}Prob > chi2{col 67}= {res}    0.4743

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      merger{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}pss {c |}{col 14}{res}{space 2} .1390392{col 26}{space 2} .2583306{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.3672794{col 67}{space 3} .6453578
{txt}{space 3}party_age {c |}{col 14}{res}{space 2}-.0213816{col 26}{space 2} .0147759{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.0503418{col 67}{space 3} .0075785
{txt}{space 2}advantager {c |}{col 14}{res}{space 2} .3754849{col 26}{space 2} .1714213{col 37}{space 1}    2.19{col 46}{space 3}0.028{col 54}{space 4} .0395054{col 67}{space 3} .7114644
{txt}{space 3}norepres2 {c |}{col 14}{res}{space 2} 1.551385{col 26}{space 2} 1.063094{col 37}{space 1}    1.46{col 46}{space 3}0.144{col 54}{space 4}-.5322404{col 67}{space 3} 3.635011
{txt}{space 2}opposition {c |}{col 14}{res}{space 2} .9687903{col 26}{space 2} 1.116458{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-1.219427{col 67}{space 3} 3.157008
{txt}{space 2}office_exp {c |}{col 14}{res}{space 2} 1.356919{col 26}{space 2}  1.47797{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4} -1.53985{col 67}{space 3} 4.253687
{txt}alliance_exp {c |}{col 14}{res}{space 2} .9646066{col 26}{space 2} 1.165888{col 37}{space 1}    0.83{col 46}{space 3}0.408{col 54}{space 4}-1.320493{col 67}{space 3} 3.249706
{txt}lr_extremity {c |}{col 14}{res}{space 2}-1.041538{col 26}{space 2} .8407724{col 37}{space 1}   -1.24{col 46}{space 3}0.215{col 54}{space 4}-2.689422{col 67}{space 3} .6063452
{txt}{space 4}reg_cost {c |}{col 14}{res}{space 2} -.573445{col 26}{space 2} 2.431542{col 37}{space 1}   -0.24{col 46}{space 3}0.814{col 54}{space 4} -5.33918{col 67}{space 3}  4.19229
{txt}{space 3}party_fin {c |}{col 14}{res}{space 2} .7055109{col 26}{space 2} .7975185{col 37}{space 1}    0.88{col 46}{space 3}0.376{col 54}{space 4}-.8575966{col 67}{space 3} 2.268619
{txt}{space 4}ln_petit {c |}{col 14}{res}{space 2}-.1129497{col 26}{space 2} .2216989{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}-.5474716{col 67}{space 3} .3215722
{txt}{space 1}niche_party {c |}{col 14}{res}{space 2} 1.302004{col 26}{space 2} .7330299{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.1347082{col 67}{space 3} 2.738716
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.706814{col 26}{space 2} 1.574276{col 37}{space 1}   -3.63{col 46}{space 3}0.000{col 54}{space 4}-8.792338{col 67}{space 3} -2.62129
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod1
{txt}
{com}. firthfit
{txt}(2,509 missing values generated)
(2,509 missing values generated)
(2,509 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -36.192}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -27.254}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:     80.509}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    148.905}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.252}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.004}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.247}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:     -0.112}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.606}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.028}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger pss party_age norepres2 opposition office_exp alliance_exp  niche_party
{res}
{txt}initial:{col 16}penalized log likelihood = {res: -111.7463}
rescale:{col 16}penalized log likelihood = {res: -111.7463}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res: -111.7463}  
Iteration 1:{space 3}penalized log likelihood = {res:-110.13115}  
Iteration 2:{space 3}penalized log likelihood = {res:-103.74613}  
Iteration 3:{space 3}penalized log likelihood = {res:-103.64591}  
Iteration 4:{space 3}penalized log likelihood = {res:-103.64559}  
Iteration 5:{space 3}penalized log likelihood = {res:-103.64559}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,069
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     13.68
{txt}Penalized log likelihood = {res}-103.64559{txt}{col 49}Prob > chi2{col 67}= {res}    0.0573

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      merger{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}pss {c |}{col 14}{res}{space 2} -.032821{col 26}{space 2} .1480776{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-.3230477{col 67}{space 3} .2574058
{txt}{space 3}party_age {c |}{col 14}{res}{space 2}-.0205724{col 26}{space 2} .0088275{col 37}{space 1}   -2.33{col 46}{space 3}0.020{col 54}{space 4}-.0378739{col 67}{space 3}-.0032708
{txt}{space 3}norepres2 {c |}{col 14}{res}{space 2} .3493484{col 26}{space 2}  .875552{col 37}{space 1}    0.40{col 46}{space 3}0.690{col 54}{space 4}-1.366702{col 67}{space 3} 2.065399
{txt}{space 2}opposition {c |}{col 14}{res}{space 2} 1.164335{col 26}{space 2} .7303674{col 37}{space 1}    1.59{col 46}{space 3}0.111{col 54}{space 4} -.267159{col 67}{space 3} 2.595828
{txt}{space 2}office_exp {c |}{col 14}{res}{space 2} .9635481{col 26}{space 2} .8698718{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4}-.7413694{col 67}{space 3} 2.668465
{txt}alliance_exp {c |}{col 14}{res}{space 2} 1.198238{col 26}{space 2}   .55837{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} .1038532{col 67}{space 3} 2.292623
{txt}{space 1}niche_party {c |}{col 14}{res}{space 2} .5500286{col 26}{space 2} .4736624{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.3783327{col 67}{space 3}  1.47839
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.166658{col 26}{space 2} .8393775{col 37}{space 1}   -6.16{col 46}{space 3}0.000{col 54}{space 4}-6.811808{col 67}{space 3}-3.521508
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod2
{txt}
{com}. firthfit
{txt}(1,864 missing values generated)
(1,864 missing values generated)
(1,864 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -111.746}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -103.646}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    223.291}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    268.370}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.008}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.076}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.011}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.072}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.001}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.215}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger c.pss##c.party_age norepres2 opposition office_exp alliance_exp niche_party
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-106.44308}
rescale:{col 16}penalized log likelihood = {res:-106.44308}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-106.44308}  
Iteration 1:{space 3}penalized log likelihood = {res:-105.22051}  
Iteration 2:{space 3}penalized log likelihood = {res:-96.402532}  
Iteration 3:{space 3}penalized log likelihood = {res:-96.153349}  
Iteration 4:{space 3}penalized log likelihood = {res:-96.151439}  
Iteration 5:{space 3}penalized log likelihood = {res:-96.151439}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,069
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     16.64
{txt}Penalized log likelihood = {res}-96.151439{txt}{col 49}Prob > chi2{col 67}= {res}    0.0341

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           merger{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}pss {c |}{col 19}{res}{space 2}-.3192999{col 31}{space 2} .1972278{col 42}{space 1}   -1.62{col 51}{space 3}0.105{col 59}{space 4}-.7058592{col 72}{space 3} .0672594
{txt}{space 8}party_age {c |}{col 19}{res}{space 2}  -.02876{col 31}{space 2} .0107824{col 42}{space 1}   -2.67{col 51}{space 3}0.008{col 59}{space 4}-.0498931{col 72}{space 3} -.007627
{txt}{space 17} {c |}
c.pss#c.party_age {c |}{col 19}{res}{space 2} .0141468{col 31}{space 2} .0056377{col 42}{space 1}    2.51{col 51}{space 3}0.012{col 59}{space 4} .0030972{col 72}{space 3} .0251964
{txt}{space 17} {c |}
{space 8}norepres2 {c |}{col 19}{res}{space 2} .3679712{col 31}{space 2} .8759773{col 42}{space 1}    0.42{col 51}{space 3}0.674{col 59}{space 4}-1.348913{col 72}{space 3} 2.084855
{txt}{space 7}opposition {c |}{col 19}{res}{space 2} 1.120601{col 31}{space 2}  .744795{col 42}{space 1}    1.50{col 51}{space 3}0.132{col 59}{space 4}-.3391707{col 72}{space 3} 2.580372
{txt}{space 7}office_exp {c |}{col 19}{res}{space 2} .9089902{col 31}{space 2} .8865732{col 42}{space 1}    1.03{col 51}{space 3}0.305{col 59}{space 4}-.8286613{col 72}{space 3} 2.646642
{txt}{space 5}alliance_exp {c |}{col 19}{res}{space 2} 1.301879{col 31}{space 2} .5533866{col 42}{space 1}    2.35{col 51}{space 3}0.019{col 59}{space 4} .2172609{col 72}{space 3} 2.386496
{txt}{space 6}niche_party {c |}{col 19}{res}{space 2} .5798922{col 31}{space 2} .4760295{col 42}{space 1}    1.22{col 51}{space 3}0.223{col 59}{space 4}-.3531085{col 72}{space 3} 1.512893
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-5.018449{col 31}{space 2} .8522813{col 42}{space 1}   -5.89{col 51}{space 3}0.000{col 59}{space 4}-6.688889{col 72}{space 3}-3.348008
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod3
{txt}
{com}. firthfit
{txt}(1,864 missing values generated)
(1,864 missing values generated)
(1,864 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -106.443}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -96.151}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    210.303}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    261.016}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.010}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.101}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.028}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.097}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.327}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.023}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,069
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{space 8}179  {c |}{col 14}{res}{space 2} 2.198832{col 26}{space 2} .8838074{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .4666017{col 67}{space 3} 3.931063
{txt}{space 8}180  {c |}{col 14}{res}{space 2} 2.212979{col 26}{space 2} .8893674{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4}  .469851{col 67}{space 3} 3.956107
{txt}{space 8}181  {c |}{col 14}{res}{space 2} 2.227126{col 26}{space 2} .8949284{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .4730984{col 67}{space 3} 3.981153
{txt}{space 8}182  {c |}{col 14}{res}{space 2} 2.241273{col 26}{space 2} .9004904{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4}  .476344{col 67}{space 3} 4.006202
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(1,864 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(3,751 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. firthlogit merger c.pss##c.vote_share party_age norepres2 opposition office_exp alliance_exp niche_party
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-76.580206}
rescale:{col 16}penalized log likelihood = {res:-76.580206}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-76.580206}  
Iteration 1:{space 3}penalized log likelihood = {res:-67.490083}  
Iteration 2:{space 3}penalized log likelihood = {res:-64.590192}  
Iteration 3:{space 3}penalized log likelihood = {res:-64.305069}  
Iteration 4:{space 3}penalized log likelihood = {res:-64.301194}  
Iteration 5:{space 3}penalized log likelihood = {res:-64.301178}  
Iteration 6:{space 3}penalized log likelihood = {res:-64.301178}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,000
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}     15.86
{txt}Penalized log likelihood = {res}-64.301178{txt}{col 49}Prob > chi2{col 67}= {res}    0.0699

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}{col 20}{res}{space 2} .0047575{col 32}{space 2} .2567266{col 43}{space 1}    0.02{col 52}{space 3}0.985{col 60}{space 4}-.4984174{col 73}{space 3} .5079323
{txt}{space 8}vote_share {c |}{col 20}{res}{space 2}-.0799678{col 32}{space 2} .0385423{col 43}{space 1}   -2.07{col 52}{space 3}0.038{col 60}{space 4}-.1555093{col 73}{space 3}-.0044262
{txt}{space 18} {c |}
c.pss#c.vote_share {c |}{col 20}{res}{space 2}-.0044634{col 32}{space 2} .0344683{col 43}{space 1}   -0.13{col 52}{space 3}0.897{col 60}{space 4}  -.07202{col 73}{space 3} .0630933
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2}-.0299849{col 32}{space 2} .0131825{col 43}{space 1}   -2.27{col 52}{space 3}0.023{col 60}{space 4}-.0558221{col 73}{space 3}-.0041477
{txt}{space 9}norepres2 {c |}{col 20}{res}{space 2} .4434185{col 32}{space 2}  .895599{col 43}{space 1}    0.50{col 52}{space 3}0.621{col 60}{space 4}-1.311923{col 73}{space 3}  2.19876
{txt}{space 8}opposition {c |}{col 20}{res}{space 2} 1.249321{col 32}{space 2} .9266123{col 43}{space 1}    1.35{col 52}{space 3}0.178{col 60}{space 4}-.5668056{col 73}{space 3} 3.065448
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2} 2.568814{col 32}{space 2} 1.081009{col 43}{space 1}    2.38{col 52}{space 3}0.017{col 60}{space 4} .4500752{col 73}{space 3} 4.687553
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2}  .414406{col 32}{space 2} .9610235{col 43}{space 1}    0.43{col 52}{space 3}0.666{col 60}{space 4}-1.469165{col 73}{space 3} 2.297978
{txt}{space 7}niche_party {c |}{col 20}{res}{space 2} .3687322{col 32}{space 2} .5670336{col 43}{space 1}    0.65{col 52}{space 3}0.516{col 60}{space 4}-.7426332{col 73}{space 3} 1.480098
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-4.865252{col 32}{space 2} 1.085157{col 43}{space 1}   -4.48{col 52}{space 3}0.000{col 60}{space 4}-6.992121{col 73}{space 3}-2.738383
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod4
{txt}
{com}. firthfit
{txt}(1,933 missing values generated)
(1,933 missing values generated)
(1,933 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -76.580}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -64.301}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    148.602}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    204.611}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.166}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.160}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.030}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.470}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.021}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss) at(vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,000
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0047575{col 26}{space 2} .2567266{col 37}{space 1}    0.02{col 46}{space 3}0.985{col 54}{space 4}-.4984174{col 67}{space 3} .5079323
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0002941{col 26}{space 2} .2304437{col 37}{space 1}    0.00{col 46}{space 3}0.999{col 54}{space 4}-.4513672{col 67}{space 3} .4519554
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0041693{col 26}{space 2} .2065821{col 37}{space 1}   -0.02{col 46}{space 3}0.984{col 54}{space 4}-.4090628{col 67}{space 3} .4007241
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0086327{col 26}{space 2} .1860757{col 37}{space 1}   -0.05{col 46}{space 3}0.963{col 54}{space 4}-.3733344{col 67}{space 3}  .356069
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0130961{col 26}{space 2}  .170142{col 37}{space 1}   -0.08{col 46}{space 3}0.939{col 54}{space 4}-.3465683{col 67}{space 3} .3203761
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0175595{col 26}{space 2} .1601517{col 37}{space 1}   -0.11{col 46}{space 3}0.913{col 54}{space 4} -.331451{col 67}{space 3}  .296332
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0220229{col 26}{space 2} .1572417{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.3302109{col 67}{space 3} .2861652
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0264862{col 26}{space 2} .1617945{col 37}{space 1}   -0.16{col 46}{space 3}0.870{col 54}{space 4}-.3435977{col 67}{space 3} .2906252
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0309496{col 26}{space 2} .1732228{col 37}{space 1}   -0.18{col 46}{space 3}0.858{col 54}{space 4}  -.37046{col 67}{space 3} .3085607
{txt}{space 9}10  {c |}{col 14}{res}{space 2} -.035413{col 26}{space 2} .1902916{col 37}{space 1}   -0.19{col 46}{space 3}0.852{col 54}{space 4}-.4083778{col 67}{space 3} .3375517
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0398764{col 26}{space 2} .2116408{col 37}{space 1}   -0.19{col 46}{space 3}0.851{col 54}{space 4}-.4546847{col 67}{space 3} .3749319
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0443398{col 26}{space 2}  .236112{col 37}{space 1}   -0.19{col 46}{space 3}0.851{col 54}{space 4}-.5071107{col 67}{space 3} .4184311
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-.0488032{col 26}{space 2} .2628346{col 37}{space 1}   -0.19{col 46}{space 3}0.853{col 54}{space 4}-.5639495{col 67}{space 3} .4663432
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.0532666{col 26}{space 2} .2911895{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-.6239875{col 67}{space 3} .5174544
{txt}{space 9}15  {c |}{col 14}{res}{space 2}  -.05773{col 26}{space 2} .3207441{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-.6863768{col 67}{space 3} .5709168
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0621934{col 26}{space 2} .3511955{col 37}{space 1}   -0.18{col 46}{space 3}0.859{col 54}{space 4} -.750524{col 67}{space 3} .6261373
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0666567{col 26}{space 2} .3823297{col 37}{space 1}   -0.17{col 46}{space 3}0.862{col 54}{space 4}-.8160092{col 67}{space 3} .6826957
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.0711201{col 26}{space 2} .4139925{col 37}{space 1}   -0.17{col 46}{space 3}0.864{col 54}{space 4}-.8825306{col 67}{space 3} .7402903
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.0755835{col 26}{space 2} .4460715{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}-.9498675{col 67}{space 3} .7987005
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.0800469{col 26}{space 2} .4784829{col 37}{space 1}   -0.17{col 46}{space 3}0.867{col 54}{space 4}-1.017856{col 67}{space 3} .8577623
{txt}{space 9}21  {c |}{col 14}{res}{space 2}-.0845103{col 26}{space 2} .5111634{col 37}{space 1}   -0.17{col 46}{space 3}0.869{col 54}{space 4}-1.086372{col 67}{space 3} .9173516
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.0889737{col 26}{space 2} .5440647{col 37}{space 1}   -0.16{col 46}{space 3}0.870{col 54}{space 4}-1.155321{col 67}{space 3} .9773735
{txt}{space 9}23  {c |}{col 14}{res}{space 2}-.0934371{col 26}{space 2} .5771489{col 37}{space 1}   -0.16{col 46}{space 3}0.871{col 54}{space 4}-1.224628{col 67}{space 3} 1.037754
{txt}{space 9}24  {c |}{col 14}{res}{space 2}-.0979005{col 26}{space 2} .6103863{col 37}{space 1}   -0.16{col 46}{space 3}0.873{col 54}{space 4}-1.294236{col 67}{space 3} 1.098435
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.1023638{col 26}{space 2} .6437532{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-1.364097{col 67}{space 3} 1.159369
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.1068272{col 26}{space 2} .6772304{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-1.434174{col 67}{space 3}  1.22052
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.1112906{col 26}{space 2} .7108024{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4}-1.504438{col 67}{space 3} 1.281856
{txt}{space 9}28  {c |}{col 14}{res}{space 2} -.115754{col 26}{space 2} .7444563{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4}-1.574861{col 67}{space 3} 1.343353
{txt}{space 9}29  {c |}{col 14}{res}{space 2}-.1202174{col 26}{space 2} .7781814{col 37}{space 1}   -0.15{col 46}{space 3}0.877{col 54}{space 4}-1.645425{col 67}{space 3}  1.40499
{txt}{space 9}30  {c |}{col 14}{res}{space 2}-.1246808{col 26}{space 2}  .811969{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4}-1.716111{col 67}{space 3} 1.466749
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.1291442{col 26}{space 2} .8458116{col 37}{space 1}   -0.15{col 46}{space 3}0.879{col 54}{space 4}-1.786904{col 67}{space 3} 1.528616
{txt}{space 9}32  {c |}{col 14}{res}{space 2}-.1336076{col 26}{space 2} .8797027{col 37}{space 1}   -0.15{col 46}{space 3}0.879{col 54}{space 4}-1.857793{col 67}{space 3} 1.590578
{txt}{space 9}33  {c |}{col 14}{res}{space 2}-.1380709{col 26}{space 2}  .913637{col 37}{space 1}   -0.15{col 46}{space 3}0.880{col 54}{space 4}-1.928767{col 67}{space 3} 1.652625
{txt}{space 9}34  {c |}{col 14}{res}{space 2}-.1425343{col 26}{space 2} .9476099{col 37}{space 1}   -0.15{col 46}{space 3}0.880{col 54}{space 4}-1.999816{col 67}{space 3} 1.714747
{txt}{space 9}35  {c |}{col 14}{res}{space 2}-.1469977{col 26}{space 2} .9816173{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4}-2.070932{col 67}{space 3} 1.776937
{txt}{space 9}36  {c |}{col 14}{res}{space 2}-.1514611{col 26}{space 2} 1.015656{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4} -2.14211{col 67}{space 3} 1.839188
{txt}{space 9}37  {c |}{col 14}{res}{space 2}-.1559245{col 26}{space 2} 1.049722{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-2.213342{col 67}{space 3} 1.901493
{txt}{space 9}38  {c |}{col 14}{res}{space 2}-.1603879{col 26}{space 2} 1.083814{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-2.284625{col 67}{space 3} 1.963849
{txt}{space 9}39  {c |}{col 14}{res}{space 2}-.1648513{col 26}{space 2} 1.117929{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-2.355952{col 67}{space 3}  2.02625
{txt}{space 9}40  {c |}{col 14}{res}{space 2}-.1693147{col 26}{space 2} 1.152065{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-2.427321{col 67}{space 3} 2.088692
{txt}{space 9}41  {c |}{col 14}{res}{space 2} -.173778{col 26}{space 2} 1.186221{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4}-2.498728{col 67}{space 3} 2.151172
{txt}{space 9}42  {c |}{col 14}{res}{space 2}-.1782414{col 26}{space 2} 1.220394{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4}-2.570169{col 67}{space 3} 2.213686
{txt}{space 9}43  {c |}{col 14}{res}{space 2}-.1827048{col 26}{space 2} 1.254583{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4}-2.641641{col 67}{space 3} 2.276232
{txt}{space 9}44  {c |}{col 14}{res}{space 2}-.1871682{col 26}{space 2} 1.288786{col 37}{space 1}   -0.15{col 46}{space 3}0.885{col 54}{space 4}-2.713143{col 67}{space 3} 2.338807
{txt}{space 9}45  {c |}{col 14}{res}{space 2}-.1916316{col 26}{space 2} 1.323004{col 37}{space 1}   -0.14{col 46}{space 3}0.885{col 54}{space 4}-2.784672{col 67}{space 3} 2.401409
{txt}{space 9}46  {c |}{col 14}{res}{space 2} -.196095{col 26}{space 2} 1.357234{col 37}{space 1}   -0.14{col 46}{space 3}0.885{col 54}{space 4}-2.856226{col 67}{space 3} 2.464036
{txt}{space 9}47  {c |}{col 14}{res}{space 2}-.2005584{col 26}{space 2} 1.391477{col 37}{space 1}   -0.14{col 46}{space 3}0.885{col 54}{space 4}-2.927802{col 67}{space 3} 2.526685
{txt}{space 9}48  {c |}{col 14}{res}{space 2}-.2050218{col 26}{space 2}  1.42573{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}  -2.9994{col 67}{space 3} 2.589357
{txt}{space 9}49  {c |}{col 14}{res}{space 2}-.2094851{col 26}{space 2} 1.459993{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-3.071018{col 67}{space 3} 2.652048
{txt}{space 9}50  {c |}{col 14}{res}{space 2}-.2139485{col 26}{space 2} 1.494265{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-3.142654{col 67}{space 3} 2.714757
{txt}{space 9}51  {c |}{col 14}{res}{space 2}-.2184119{col 26}{space 2} 1.528547{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-3.214308{col 67}{space 3} 2.777484
{txt}{space 9}52  {c |}{col 14}{res}{space 2}-.2228753{col 26}{space 2} 1.562836{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-3.285978{col 67}{space 3} 2.840227
{txt}{space 9}53  {c |}{col 14}{res}{space 2}-.2273387{col 26}{space 2} 1.597133{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-3.357663{col 67}{space 3} 2.902985
{txt}{space 9}54  {c |}{col 14}{res}{space 2}-.2318021{col 26}{space 2} 1.631438{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-3.429362{col 67}{space 3} 2.965757
{txt}{space 9}55  {c |}{col 14}{res}{space 2}-.2362655{col 26}{space 2} 1.665749{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-3.501074{col 67}{space 3} 3.028543
{txt}{space 9}56  {c |}{col 14}{res}{space 2}-.2407289{col 26}{space 2} 1.700067{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-3.572798{col 67}{space 3} 3.091341
{txt}{space 9}57  {c |}{col 14}{res}{space 2}-.2451922{col 26}{space 2}  1.73439{col 37}{space 1}   -0.14{col 46}{space 3}0.888{col 54}{space 4}-3.644535{col 67}{space 3}  3.15415
{txt}{space 9}58  {c |}{col 14}{res}{space 2}-.2496556{col 26}{space 2}  1.76872{col 37}{space 1}   -0.14{col 46}{space 3}0.888{col 54}{space 4}-3.716282{col 67}{space 3} 3.216971
{txt}{space 9}59  {c |}{col 14}{res}{space 2} -.254119{col 26}{space 2} 1.803054{col 37}{space 1}   -0.14{col 46}{space 3}0.888{col 54}{space 4} -3.78804{col 67}{space 3} 3.279802
{txt}{space 9}60  {c |}{col 14}{res}{space 2}-.2585824{col 26}{space 2} 1.837394{col 37}{space 1}   -0.14{col 46}{space 3}0.888{col 54}{space 4}-3.859808{col 67}{space 3} 3.342643
{txt}{space 9}61  {c |}{col 14}{res}{space 2}-.2630458{col 26}{space 2} 1.871738{col 37}{space 1}   -0.14{col 46}{space 3}0.888{col 54}{space 4}-3.931585{col 67}{space 3} 3.405493
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(1,933 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(3,872 missing values generated)

{com}. 
. twoway hist vote_share if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. firthlogit merger c.pss##i.opposition party_age norepres2 office_exp alliance_exp niche_party
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-110.59222}
rescale:{col 16}penalized log likelihood = {res:-110.59222}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-110.59222}  
Iteration 1:{space 3}penalized log likelihood = {res:-102.72999}  
Iteration 2:{space 3}penalized log likelihood = {res:  -100.894}  
Iteration 3:{space 3}penalized log likelihood = {res: -100.8201}  
Iteration 4:{space 3}penalized log likelihood = {res:-100.81997}  
Iteration 5:{space 3}penalized log likelihood = {res:-100.81997}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,069
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     16.10
{txt}Penalized log likelihood = {res}-100.81997{txt}{col 49}Prob > chi2{col 67}= {res}    0.0410

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          merger{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}pss {c |}{col 18}{res}{space 2} .3697533{col 30}{space 2} .2436665{col 41}{space 1}    1.52{col 50}{space 3}0.129{col 58}{space 4}-.1078243{col 71}{space 3} .8473309
{txt}{space 16} {c |}
{space 6}opposition {c |}
{space 5}Opposition  {c |}{col 18}{res}{space 2}  1.51936{col 30}{space 2} .8047689{col 41}{space 1}    1.89{col 50}{space 3}0.059{col 58}{space 4}-.0579578{col 71}{space 3} 3.096678
{txt}{space 16} {c |}
opposition#c.pss {c |}
{space 5}Opposition  {c |}{col 18}{res}{space 2}-.5634547{col 30}{space 2} .3045519{col 41}{space 1}   -1.85{col 50}{space 3}0.064{col 58}{space 4}-1.160366{col 71}{space 3} .0334561
{txt}{space 16} {c |}
{space 7}party_age {c |}{col 18}{res}{space 2}-.0197643{col 30}{space 2} .0088735{col 41}{space 1}   -2.23{col 50}{space 3}0.026{col 58}{space 4} -.037156{col 71}{space 3}-.0023726
{txt}{space 7}norepres2 {c |}{col 18}{res}{space 2} .3459874{col 30}{space 2} .8750266{col 41}{space 1}    0.40{col 50}{space 3}0.693{col 58}{space 4}-1.369033{col 71}{space 3} 2.061008
{txt}{space 6}office_exp {c |}{col 18}{res}{space 2} .9552946{col 30}{space 2} .8650874{col 41}{space 1}    1.10{col 50}{space 3}0.269{col 58}{space 4}-.7402456{col 71}{space 3} 2.650835
{txt}{space 4}alliance_exp {c |}{col 18}{res}{space 2} 1.193045{col 30}{space 2} .5585475{col 41}{space 1}    2.14{col 50}{space 3}0.033{col 58}{space 4} .0983117{col 71}{space 3} 2.287777
{txt}{space 5}niche_party {c |}{col 18}{res}{space 2} .5958453{col 30}{space 2} .4774499{col 41}{space 1}    1.25{col 50}{space 3}0.212{col 58}{space 4}-.3399394{col 71}{space 3}  1.53163
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-5.525354{col 30}{space 2} .9104459{col 41}{space 1}   -6.07{col 50}{space 3}0.000{col 58}{space 4}-7.309795{col 71}{space 3}-3.740913
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store mod5
{txt}
{com}. firthfit
{txt}(1,864 missing values generated)
(1,864 missing values generated)
(1,864 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -110.592}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -100.820}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    223.640}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    285.623}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.009}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.093}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.016}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.088}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:     -0.011}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.250}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.016}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss) at(opposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,069
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3697533{col 26}{space 2} .2436665{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.1078243{col 67}{space 3} .8473309
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1937014{col 26}{space 2} .1828473{col 37}{space 1}   -1.06{col 46}{space 3}0.289{col 54}{space 4}-.5520755{col 67}{space 3} .1646727
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: opposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA25.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA14.csv", replace
{txt}
{com}. 
. restore
{txt}
{com}. 
. **Replicate Table A15 and Figure A26
. 
. xtmixed nicheness c.l.pss##i.niche_party_previous vote_loss l.vote_share party_age lopposition i.decade || ccode: || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4440.0406}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -4439.647}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-4439.6462}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-4439.6462}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       28{col 42}     77.1{col 53}      189
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     200{col 31}        1{col 42}      8.1{col 53}       25
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}12{txt}){col 67}={col 70}{res}    40.57
{txt}Log likelihood = {res}-4439.6462{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  nicheness{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}pss {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-.1887383{col 41}{space 2} .1158876{col 52}{space 1}   -1.63{col 61}{space 3}0.103{col 69}{space 4}-.4158738{col 82}{space 3} .0383971
{txt}{space 27} {c |}
{space 7}niche_party_previous {c |}
{space 20}NP t-1  {c |}{col 29}{res}{space 2} .5540717{col 41}{space 2} .2746815{col 52}{space 1}    2.02{col 61}{space 3}0.044{col 69}{space 4}  .015706{col 82}{space 3} 1.092438
{txt}{space 27} {c |}
niche_party_previous#cL.pss {c |}
{space 20}NP t-1  {c |}{col 29}{res}{space 2} .0098524{col 41}{space 2}   .21466{col 52}{space 1}    0.05{col 61}{space 3}0.963{col 69}{space 4}-.4108734{col 82}{space 3} .4305782
{txt}{space 27} {c |}
{space 18}vote_loss {c |}{col 29}{res}{space 2} .0075536{col 41}{space 2} .0224766{col 52}{space 1}    0.34{col 61}{space 3}0.737{col 69}{space 4}-.0364998{col 82}{space 3}  .051607
{txt}{space 27} {c |}
{space 17}vote_share {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-.0577389{col 41}{space 2} .0157064{col 52}{space 1}   -3.68{col 61}{space 3}0.000{col 69}{space 4}-.0885229{col 82}{space 3}-.0269548
{txt}{space 27} {c |}
{space 18}party_age {c |}{col 29}{res}{space 2}-.0143721{col 41}{space 2} .0067265{col 52}{space 1}   -2.14{col 61}{space 3}0.033{col 69}{space 4}-.0275557{col 82}{space 3}-.0011885
{txt}{space 16}lopposition {c |}{col 29}{res}{space 2}  .152202{col 41}{space 2} .2307872{col 52}{space 1}    0.66{col 61}{space 3}0.510{col 69}{space 4}-.3001326{col 82}{space 3} .6045366
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 17}1960-1969  {c |}{col 29}{res}{space 2} .3956673{col 41}{space 2} .3658609{col 52}{space 1}    1.08{col 61}{space 3}0.279{col 69}{space 4}-.3214069{col 82}{space 3} 1.112741
{txt}{space 17}1970-1979  {c |}{col 29}{res}{space 2} .0679976{col 41}{space 2} .3696002{col 52}{space 1}    0.18{col 61}{space 3}0.854{col 69}{space 4}-.6564055{col 82}{space 3} .7924008
{txt}{space 17}1980-1989  {c |}{col 29}{res}{space 2} .2557868{col 41}{space 2} .3934783{col 52}{space 1}    0.65{col 61}{space 3}0.516{col 69}{space 4}-.5154165{col 82}{space 3}  1.02699
{txt}{space 17}1990-1999  {c |}{col 29}{res}{space 2} .1751158{col 41}{space 2} .4402838{col 52}{space 1}    0.40{col 61}{space 3}0.691{col 69}{space 4}-.6878246{col 82}{space 3} 1.038056
{txt}{space 14}2000 onwards  {c |}{col 29}{res}{space 2} .4306982{col 41}{space 2} .4715294{col 52}{space 1}    0.91{col 61}{space 3}0.361{col 69}{space 4}-.4934823{col 82}{space 3} 1.354879
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2} 3.879357{col 41}{space 2} .4875936{col 52}{space 1}    7.96{col 61}{space 3}0.000{col 69}{space 4} 2.923691{col 82}{space 3} 4.835023
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.04e-14{col 44} 2.19e-13{col 58} 1.56e-23{col 70} .0000268
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.205294{col 44} 1.332975{col 58} 6.930734{col 70} 12.22633
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.26841{col 44} .4349961{col 58} 10.44729{col 70} 12.15407
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}213.14{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod1
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1887383{col 26}{space 2} .1158876{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.4158738{col 67}{space 3} .0383971
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1788859{col 26}{space 2} .2142591{col 37}{space 1}   -0.83{col 46}{space 3}0.404{col 54}{space 4}-.5988261{col 67}{space 3} .2410543
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss##i.niche_party_previous##c.party_age  vote_loss l.vote_share lopposition i.decade || ccode: ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -4437.982}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4437.5807}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-4437.5798}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-4437.5798}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       28{col 42}     77.1{col 53}      189
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     200{col 31}        1{col 42}      8.1{col 53}       25
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}15{txt}){col 67}={col 70}{res}    44.85
{txt}Log likelihood = {res}-4437.5798{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              nicheness{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      z{col 73}   P>|z|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.2626493{col 53}{space 2} .1840607{col 64}{space 1}   -1.43{col 73}{space 3}0.154{col 81}{space 4}-.6234016{col 94}{space 3} .0981031
{txt}{space 39} {c |}
{space 19}niche_party_previous {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} 1.223817{col 53}{space 2} .4531472{col 64}{space 1}    2.70{col 73}{space 3}0.007{col 81}{space 4} .3356644{col 94}{space 3} 2.111969
{txt}{space 39} {c |}
{space 12}niche_party_previous#cL.pss {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-.0871471{col 53}{space 2} .3439082{col 64}{space 1}   -0.25{col 73}{space 3}0.800{col 81}{space 4}-.7611948{col 94}{space 3} .5869006
{txt}{space 39} {c |}
{space 30}party_age {c |}{col 41}{res}{space 2}-.0123312{col 53}{space 2} .0068793{col 64}{space 1}   -1.79{col 73}{space 3}0.073{col 81}{space 4}-.0258145{col 94}{space 3} .0011521
{txt}{space 39} {c |}
{space 21}cL.pss#c.party_age {c |}{col 41}{res}{space 2} .0017329{col 53}{space 2} .0031468{col 64}{space 1}    0.55{col 73}{space 3}0.582{col 81}{space 4}-.0044347{col 94}{space 3} .0079005
{txt}{space 39} {c |}
{space 7}niche_party_previous#c.party_age {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-.0144256{col 53}{space 2} .0076357{col 64}{space 1}   -1.89{col 73}{space 3}0.059{col 81}{space 4}-.0293914{col 94}{space 3} .0005401
{txt}{space 39} {c |}
niche_party_previous#cL.pss#c.party_age {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .0030309{col 53}{space 2} .0073576{col 64}{space 1}    0.41{col 73}{space 3}0.680{col 81}{space 4}-.0113897{col 94}{space 3} .0174515
{txt}{space 39} {c |}
{space 30}vote_loss {c |}{col 41}{res}{space 2} .0059554{col 53}{space 2} .0224657{col 64}{space 1}    0.27{col 73}{space 3}0.791{col 81}{space 4}-.0380765{col 94}{space 3} .0499873
{txt}{space 39} {c |}
{space 29}vote_share {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0571916{col 53}{space 2} .0156847{col 64}{space 1}   -3.65{col 73}{space 3}0.000{col 81}{space 4}-.0879331{col 94}{space 3}-.0264501
{txt}{space 39} {c |}
{space 28}lopposition {c |}{col 41}{res}{space 2} .1515959{col 53}{space 2} .2306221{col 64}{space 1}    0.66{col 73}{space 3}0.511{col 81}{space 4}-.3004152{col 94}{space 3}  .603607
{txt}{space 39} {c |}
{space 33}decade {c |}
{space 29}1960-1969  {c |}{col 41}{res}{space 2} .3957509{col 53}{space 2} .3654559{col 64}{space 1}    1.08{col 73}{space 3}0.279{col 81}{space 4}-.3205295{col 94}{space 3} 1.112031
{txt}{space 29}1970-1979  {c |}{col 41}{res}{space 2} .0543764{col 53}{space 2} .3692358{col 64}{space 1}    0.15{col 73}{space 3}0.883{col 81}{space 4}-.6693125{col 94}{space 3} .7780653
{txt}{space 29}1980-1989  {c |}{col 41}{res}{space 2} .2461758{col 53}{space 2} .3931012{col 64}{space 1}    0.63{col 73}{space 3}0.531{col 81}{space 4}-.5242883{col 94}{space 3}  1.01664
{txt}{space 29}1990-1999  {c |}{col 41}{res}{space 2} .1360057{col 53}{space 2}  .440499{col 64}{space 1}    0.31{col 73}{space 3}0.758{col 81}{space 4}-.7273565{col 94}{space 3} .9993679
{txt}{space 26}2000 onwards  {c |}{col 41}{res}{space 2} .3849248{col 53}{space 2} .4719974{col 64}{space 1}    0.82{col 73}{space 3}0.415{col 81}{space 4}-.5401732{col 94}{space 3} 1.310023
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 3.782629{col 53}{space 2} .4943522{col 64}{space 1}    7.65{col 73}{space 3}0.000{col 81}{space 4} 2.813717{col 94}{space 3} 4.751542
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.13e-14{col 44} 1.93e-13{col 58} 2.96e-29{col 70} 4.283949
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.169272{col 44} 1.813509{col 58} 6.222763{col 70} 13.51097
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.24135{col 44} .6493796{col 58}   10.038{col 70} 12.58896
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}213.50{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod2
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) party_age=(1 25 50 75)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2609163{col 26}{space 2}  .181625{col 37}{space 1}   -1.44{col 46}{space 3}0.151{col 54}{space 4}-.6168949{col 67}{space 3} .0950622
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2193266{col 26}{space 2} .1324868{col 37}{space 1}   -1.66{col 46}{space 3}0.098{col 54}{space 4}-.4789959{col 67}{space 3} .0403428
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1760039{col 26}{space 2} .1166409{col 37}{space 1}   -1.51{col 46}{space 3}0.131{col 54}{space 4}-.4046159{col 67}{space 3} .0526081
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1326812{col 26}{space 2} .1484432{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-.4236245{col 67}{space 3} .1582622
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.3450326{col 26}{space 2} .3303679{col 37}{space 1}   -1.04{col 46}{space 3}0.296{col 54}{space 4}-.9925418{col 67}{space 3} .3024767
{txt}{space 10}6  {c |}{col 14}{res}{space 2} -.230701{col 26}{space 2} .2284733{col 37}{space 1}   -1.01{col 46}{space 3}0.313{col 54}{space 4}-.6785004{col 67}{space 3} .2170985
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1116056{col 26}{space 2} .2371027{col 37}{space 1}   -0.47{col 46}{space 3}0.638{col 54}{space 4}-.5763183{col 67}{space 3} .3531071
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0074898{col 26}{space 2} .3533567{col 37}{space 1}    0.02{col 46}{space 3}0.983{col 54}{space 4}-.6850767{col 67}{space 3} .7000563
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "party_age=1" 6 "party_age=25" 7 "party_age=50" 8 "party_age=75")) ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous party_age{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss##i.niche_party_previous##c.leaderdom  vote_loss l.vote_share party_age lopposition i.decade || ccode: ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2765.9329}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-2765.5616}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-2765.5613}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-2765.5613}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,178

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      18{col 31}       23{col 42}     65.4{col 53}      178
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     104{col 31}        1{col 42}     11.3{col 53}       25
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}16{txt}){col 67}={col 70}{res}    44.84
{txt}Log likelihood = {res}-2765.5613{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              nicheness{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      z{col 73}   P>|z|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.3539087{col 53}{space 2} .2893829{col 64}{space 1}   -1.22{col 73}{space 3}0.221{col 81}{space 4}-.9210888{col 94}{space 3} .2132714
{txt}{space 39} {c |}
{space 19}niche_party_previous {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .3015305{col 53}{space 2} .8830263{col 64}{space 1}    0.34{col 73}{space 3}0.733{col 81}{space 4}-1.429169{col 94}{space 3}  2.03223
{txt}{space 39} {c |}
{space 12}niche_party_previous#cL.pss {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-.4660423{col 53}{space 2}  .642534{col 64}{space 1}   -0.73{col 73}{space 3}0.468{col 81}{space 4}-1.725386{col 94}{space 3} .7933011
{txt}{space 39} {c |}
{space 30}leaderdom {c |}{col 41}{res}{space 2}-.0427063{col 53}{space 2} .0385145{col 64}{space 1}   -1.11{col 73}{space 3}0.267{col 81}{space 4}-.1181934{col 94}{space 3} .0327807
{txt}{space 39} {c |}
{space 21}cL.pss#c.leaderdom {c |}{col 41}{res}{space 2} .0058978{col 53}{space 2} .0147215{col 64}{space 1}    0.40{col 73}{space 3}0.689{col 81}{space 4}-.0229557{col 94}{space 3} .0347513
{txt}{space 39} {c |}
{space 7}niche_party_previous#c.leaderdom {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .0071499{col 53}{space 2}  .046992{col 64}{space 1}    0.15{col 73}{space 3}0.879{col 81}{space 4}-.0849527{col 94}{space 3} .0992525
{txt}{space 39} {c |}
niche_party_previous#cL.pss#c.leaderdom {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .0183934{col 53}{space 2} .0307635{col 64}{space 1}    0.60{col 73}{space 3}0.550{col 81}{space 4}-.0419019{col 94}{space 3} .0786888
{txt}{space 39} {c |}
{space 30}vote_loss {c |}{col 41}{res}{space 2}-.0041387{col 53}{space 2} .0172998{col 64}{space 1}   -0.24{col 73}{space 3}0.811{col 81}{space 4}-.0380456{col 94}{space 3} .0297682
{txt}{space 39} {c |}
{space 29}vote_share {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0446037{col 53}{space 2} .0122459{col 64}{space 1}   -3.64{col 73}{space 3}0.000{col 81}{space 4}-.0686052{col 94}{space 3}-.0206023
{txt}{space 39} {c |}
{space 30}party_age {c |}{col 41}{res}{space 2}-.0118481{col 53}{space 2} .0055612{col 64}{space 1}   -2.13{col 73}{space 3}0.033{col 81}{space 4}-.0227478{col 94}{space 3}-.0009484
{txt}{space 28}lopposition {c |}{col 41}{res}{space 2}-.0861447{col 53}{space 2} .1700794{col 64}{space 1}   -0.51{col 73}{space 3}0.613{col 81}{space 4}-.4194942{col 94}{space 3} .2472048
{txt}{space 39} {c |}
{space 33}decade {c |}
{space 29}1960-1969  {c |}{col 41}{res}{space 2}-.4056702{col 53}{space 2} .2974591{col 64}{space 1}   -1.36{col 73}{space 3}0.173{col 81}{space 4}-.9886794{col 94}{space 3}  .177339
{txt}{space 29}1970-1979  {c |}{col 41}{res}{space 2}-.1015511{col 53}{space 2} .2956757{col 64}{space 1}   -0.34{col 73}{space 3}0.731{col 81}{space 4}-.6810648{col 94}{space 3} .4779626
{txt}{space 29}1980-1989  {c |}{col 41}{res}{space 2}  -.32928{col 53}{space 2} .3139936{col 64}{space 1}   -1.05{col 73}{space 3}0.294{col 81}{space 4}-.9446961{col 94}{space 3}  .286136
{txt}{space 29}1990-1999  {c |}{col 41}{res}{space 2}-.1765823{col 53}{space 2} .3556262{col 64}{space 1}   -0.50{col 73}{space 3}0.620{col 81}{space 4}-.8735969{col 94}{space 3} .5204323
{txt}{space 26}2000 onwards  {c |}{col 41}{res}{space 2} .1992985{col 53}{space 2} .3968429{col 64}{space 1}    0.50{col 73}{space 3}0.616{col 81}{space 4}-.5784994{col 94}{space 3} .9770963
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 4.614346{col 53}{space 2} .7692067{col 64}{space 1}    6.00{col 73}{space 3}0.000{col 81}{space 4} 3.106728{col 94}{space 3} 6.121963
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 7.18e-22{col 44} 9.04e-21{col 58} 1.36e-32{col 70} 3.80e-11
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.248159{col 44} .5915087{col 58} 2.273152{col 70} 4.641368
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 5.405145{col 44} .2405687{col 58} 4.953619{col 70} 5.897827
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}217.90{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod3
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) leaderdom=(0 10 20 30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,178

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3539087{col 26}{space 2} .2893829{col 37}{space 1}   -1.22{col 46}{space 3}0.221{col 54}{space 4}-.9210888{col 67}{space 3} .2132714
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2949306{col 26}{space 2} .1573453{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4}-.6033218{col 67}{space 3} .0134606
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2359525{col 26}{space 2} .0954824{col 37}{space 1}   -2.47{col 46}{space 3}0.013{col 54}{space 4}-.4230946{col 67}{space 3}-.0488104
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1769744{col 26}{space 2} .1918867{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.5530654{col 67}{space 3} .1991166
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.819951{col 26}{space 2} .6578349{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-2.109284{col 67}{space 3} .4693817
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.5770385{col 26}{space 2} .3651489{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4}-1.292717{col 67}{space 3} .1386402
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3341259{col 26}{space 2} .1809664{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4}-.6888135{col 67}{space 3} .0205617
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0912133{col 26}{space 2} .3619284{col 37}{space 1}   -0.25{col 46}{space 3}0.801{col 54}{space 4}-.8005798{col 67}{space 3} .6181532
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Lead. dom.=0" 6 "Lead. dom.=10" 7 "Lead. dom.=20" 8 "Lead. dom.=30")) ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous leaderdom{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss##i.niche_party_previous##c.l.vote_share  vote_loss party_age lopposition i.decade || ccode: ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4439.9074}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -4439.513}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-4439.5121}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-4439.5121}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       28{col 42}     77.1{col 53}      189
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     200{col 31}        1{col 42}      8.1{col 53}       25
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}15{txt}){col 67}={col 70}{res}    40.92
{txt}Log likelihood = {res}-4439.5121{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0003

{txt}{hline 42}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                nicheness{col 43}{c |}      Coef.{col 55}   Std. Err.{col 67}      z{col 75}   P>|z|{col 83}     [95% Con{col 96}f. Interval]
{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 38}pss {c |}
{space 38}L1. {c |}{col 43}{res}{space 2}-.1876416{col 55}{space 2} .1709859{col 66}{space 1}   -1.10{col 75}{space 3}0.272{col 83}{space 4}-.5227677{col 96}{space 3} .1474846
{txt}{space 41} {c |}
{space 21}niche_party_previous {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2}  .683728{col 55}{space 2} .4072465{col 66}{space 1}    1.68{col 75}{space 3}0.093{col 83}{space 4}-.1144605{col 96}{space 3} 1.481916
{txt}{space 41} {c |}
{space 14}niche_party_previous#cL.pss {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2}-.0438365{col 55}{space 2}  .302697{col 66}{space 1}   -0.14{col 75}{space 3}0.885{col 83}{space 4}-.6371117{col 96}{space 3} .5494388
{txt}{space 41} {c |}
{space 31}vote_share {c |}
{space 38}L1. {c |}{col 43}{res}{space 2} -.056035{col 55}{space 2} .0165659{col 66}{space 1}   -3.38{col 75}{space 3}0.001{col 83}{space 4}-.0885035{col 96}{space 3}-.0235665
{txt}{space 41} {c |}
{space 21}cL.pss#cL.vote_share {c |}{col 43}{res}{space 2} .0004939{col 55}{space 2} .0086817{col 66}{space 1}    0.06{col 75}{space 3}0.955{col 83}{space 4}-.0165219{col 96}{space 3} .0175096
{txt}{space 41} {c |}
{space 7}niche_party_previous#cL.vote_share {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2}-.0075826{col 55}{space 2} .0206951{col 66}{space 1}   -0.37{col 75}{space 3}0.714{col 83}{space 4}-.0481442{col 96}{space 3}  .032979
{txt}{space 41} {c |}
niche_party_previous#cL.pss#cL.vote_share {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2} .0035851{col 55}{space 2}  .021494{col 66}{space 1}    0.17{col 75}{space 3}0.868{col 83}{space 4}-.0385423{col 96}{space 3} .0457126
{txt}{space 41} {c |}
{space 32}vote_loss {c |}{col 43}{res}{space 2}  .007573{col 55}{space 2} .0225185{col 66}{space 1}    0.34{col 75}{space 3}0.737{col 83}{space 4}-.0365625{col 96}{space 3} .0517084
{txt}{space 32}party_age {c |}{col 43}{res}{space 2}-.0143444{col 55}{space 2} .0067358{col 66}{space 1}   -2.13{col 75}{space 3}0.033{col 83}{space 4}-.0275464{col 96}{space 3}-.0011424
{txt}{space 30}lopposition {c |}{col 43}{res}{space 2} .1541376{col 55}{space 2} .2309955{col 66}{space 1}    0.67{col 75}{space 3}0.505{col 83}{space 4}-.2986053{col 96}{space 3} .6068806
{txt}{space 41} {c |}
{space 35}decade {c |}
{space 31}1960-1969  {c |}{col 43}{res}{space 2} .3789123{col 55}{space 2} .3675748{col 66}{space 1}    1.03{col 75}{space 3}0.303{col 83}{space 4}-.3415211{col 96}{space 3} 1.099346
{txt}{space 31}1970-1979  {c |}{col 43}{res}{space 2} .0565004{col 55}{space 2} .3703508{col 66}{space 1}    0.15{col 75}{space 3}0.879{col 83}{space 4}-.6693738{col 96}{space 3} .7823745
{txt}{space 31}1980-1989  {c |}{col 43}{res}{space 2} .2504722{col 55}{space 2} .3937358{col 66}{space 1}    0.64{col 75}{space 3}0.525{col 83}{space 4}-.5212357{col 96}{space 3}  1.02218
{txt}{space 31}1990-1999  {c |}{col 43}{res}{space 2} .1577848{col 55}{space 2} .4417484{col 66}{space 1}    0.36{col 75}{space 3}0.721{col 83}{space 4}-.7080262{col 96}{space 3} 1.023596
{txt}{space 28}2000 onwards  {c |}{col 43}{res}{space 2} .4155183{col 55}{space 2} .4724398{col 66}{space 1}    0.88{col 75}{space 3}0.379{col 83}{space 4}-.5104466{col 96}{space 3} 1.341483
{txt}{space 41} {c |}
{space 36}_cons {c |}{col 43}{res}{space 2}   3.8549{col 55}{space 2}  .491598{col 66}{space 1}    7.84{col 75}{space 3}0.000{col 83}{space 4} 2.891385{col 96}{space 3} 4.818414
{txt}{hline 42}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 7.27e-14{col 44} 8.08e-13{col 58} 2.53e-23{col 70} .0002095
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  9.18042{col 44} 1.336006{col 58} 6.902224{col 70} 12.21057
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.26962{col 44} .4313376{col 58} 10.45514{col 70} 12.14754
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}208.34{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod4
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) L.vote_share=(0 10 30 50)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1876416{col 26}{space 2} .1709859{col 37}{space 1}   -1.10{col 46}{space 3}0.272{col 54}{space 4}-.5227677{col 67}{space 3} .1474846
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1827029{col 26}{space 2} .1229673{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4}-.4237144{col 67}{space 3} .0583086
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1728255{col 26}{space 2} .1792023{col 37}{space 1}   -0.96{col 46}{space 3}0.335{col 54}{space 4}-.5240555{col 67}{space 3} .1784046
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1629481{col 26}{space 2} .3307615{col 37}{space 1}   -0.49{col 46}{space 3}0.622{col 54}{space 4}-.8112288{col 67}{space 3} .4853326
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.2314781{col 26}{space 2} .2929816{col 37}{space 1}   -0.79{col 46}{space 3}0.429{col 54}{space 4}-.8057114{col 67}{space 3} .3427553
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1906879{col 26}{space 2} .2177414{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4}-.6174532{col 67}{space 3} .2360774
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1091075{col 26}{space 2} .4848319{col 37}{space 1}   -0.23{col 46}{space 3}0.822{col 54}{space 4}-1.059361{col 67}{space 3} .8411456
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0275271{col 26}{space 2} .8805596{col 37}{space 1}   -0.03{col 46}{space 3}0.975{col 54}{space 4}-1.753392{col 67}{space 3} 1.698338
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Size t-1=0" 6 "Size t-1=10" 7 "Size t-1=30" 8 "Size t-1=50")) ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous L.vote_share{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss##i.niche_party_previous##i.lopposition vote_loss party_age l.vote_share i.decade || ccode: || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4438.0564}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4437.6614}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-4437.6605}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-4437.6605}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620

{txt}{hline 16}{c TT}{hline 44}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum
{hline 16}{c +}{hline 44}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       28{col 42}     77.1{col 53}      189
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     200{col 31}        1{col 42}      8.1{col 53}       25
{txt}{hline 16}{c BT}{hline 44}

{col 49}Wald chi2({res}15{txt}){col 67}={col 70}{res}    44.66
{txt}Log likelihood = {res}-4437.6605{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              nicheness{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      z{col 73}   P>|z|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0702972{col 53}{space 2} .1495044{col 64}{space 1}   -0.47{col 73}{space 3}0.638{col 81}{space 4}-.3633205{col 94}{space 3} .2227261
{txt}{space 39} {c |}
{space 19}niche_party_previous {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .3295377{col 53}{space 2} .4350655{col 64}{space 1}    0.76{col 73}{space 3}0.449{col 81}{space 4}-.5231749{col 94}{space 3}  1.18225
{txt}{space 39} {c |}
{space 12}niche_party_previous#cL.pss {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-.6126017{col 53}{space 2} .4555872{col 64}{space 1}   -1.34{col 73}{space 3}0.179{col 81}{space 4}-1.505536{col 94}{space 3} .2803328
{txt}{space 39} {c |}
{space 28}lopposition {c |}
{space 24}Opposition t-1  {c |}{col 41}{res}{space 2}  .160114{col 53}{space 2} .2474218{col 64}{space 1}    0.65{col 73}{space 3}0.518{col 81}{space 4}-.3248238{col 94}{space 3} .6450517
{txt}{space 39} {c |}
{space 21}lopposition#cL.pss {c |}
{space 24}Opposition t-1  {c |}{col 41}{res}{space 2}-.2162244{col 53}{space 2} .1643798{col 64}{space 1}   -1.32{col 73}{space 3}0.188{col 81}{space 4}-.5384029{col 94}{space 3} .1059541
{txt}{space 39} {c |}
{space 7}niche_party_previous#lopposition {c |}
{space 17}NP t-1#Opposition t-1  {c |}{col 41}{res}{space 2} .3279658{col 53}{space 2} .5411408{col 64}{space 1}    0.61{col 73}{space 3}0.544{col 81}{space 4}-.7326507{col 94}{space 3} 1.388582
{txt}{space 39} {c |}
niche_party_previous#lopposition#cL.pss {c |}
{space 17}NP t-1#Opposition t-1  {c |}{col 41}{res}{space 2} .8206843{col 53}{space 2} .5146521{col 64}{space 1}    1.59{col 73}{space 3}0.111{col 81}{space 4}-.1880154{col 94}{space 3} 1.829384
{txt}{space 39} {c |}
{space 30}vote_loss {c |}{col 41}{res}{space 2} .0057284{col 53}{space 2} .0224836{col 64}{space 1}    0.25{col 73}{space 3}0.799{col 81}{space 4}-.0383386{col 94}{space 3} .0497955
{txt}{space 30}party_age {c |}{col 41}{res}{space 2}-.0140885{col 53}{space 2} .0067195{col 64}{space 1}   -2.10{col 73}{space 3}0.036{col 81}{space 4}-.0272585{col 94}{space 3}-.0009185
{txt}{space 39} {c |}
{space 29}vote_share {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0570427{col 53}{space 2} .0157933{col 64}{space 1}   -3.61{col 73}{space 3}0.000{col 81}{space 4}-.0879969{col 94}{space 3}-.0260884
{txt}{space 39} {c |}
{space 33}decade {c |}
{space 29}1960-1969  {c |}{col 41}{res}{space 2} .4163838{col 53}{space 2} .3664326{col 64}{space 1}    1.14{col 73}{space 3}0.256{col 81}{space 4}-.3018109{col 94}{space 3} 1.134578
{txt}{space 29}1970-1979  {c |}{col 41}{res}{space 2} .0762357{col 53}{space 2} .3695629{col 64}{space 1}    0.21{col 73}{space 3}0.837{col 81}{space 4}-.6480943{col 94}{space 3} .8005656
{txt}{space 29}1980-1989  {c |}{col 41}{res}{space 2} .2688472{col 53}{space 2} .3934819{col 64}{space 1}    0.68{col 73}{space 3}0.494{col 81}{space 4}-.5023631{col 94}{space 3} 1.040057
{txt}{space 29}1990-1999  {c |}{col 41}{res}{space 2} .1784345{col 53}{space 2} .4410404{col 64}{space 1}    0.40{col 73}{space 3}0.686{col 81}{space 4}-.6859887{col 94}{space 3} 1.042858
{txt}{space 26}2000 onwards  {c |}{col 41}{res}{space 2} .4391974{col 53}{space 2} .4720876{col 64}{space 1}    0.93{col 73}{space 3}0.352{col 81}{space 4}-.4860772{col 94}{space 3} 1.364472
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 3.829783{col 53}{space 2} .4922104{col 64}{space 1}    7.78{col 73}{space 3}0.000{col 81}{space 4} 2.865069{col 94}{space 3} 4.794498
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.95e-14{col 44} 3.70e-13{col 58} 4.11e-22{col 70} 3.79e-06
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.176558{col 44} 1.329937{col 58}  6.90744{col 70} 12.19109
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.24163{col 44} .4299538{col 58} 10.42975{col 70} 12.11672
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}chi2({res}2{txt}) = {res}213.08{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod5
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0702972{col 26}{space 2} .1495044{col 37}{space 1}   -0.47{col 46}{space 3}0.638{col 54}{space 4}-.3633205{col 67}{space 3} .2227261
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2865216{col 26}{space 2}   .13553{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4}-.5521555{col 67}{space 3}-.0208876
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.6828989{col 26}{space 2} .4552679{col 37}{space 1}   -1.50{col 46}{space 3}0.134{col 54}{space 4}-1.575208{col 67}{space 3} .2094098
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.078439{col 26}{space 2} .2350907{col 37}{space 1}   -0.33{col 46}{space 3}0.739{col 54}{space 4}-.5392083{col 67}{space 3} .3823303
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13)) ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(3 "Government t-1" 4 "Opposition t-1")) ///
> graphregion(fcolor(white)) name(e, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d e, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA26.wmf", replace
{txt}
{com}. capture esttab  mod1 mod2 mod3 mod4 mod5,  stats(r2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA15.csv", replace
{txt}
{com}. 
. **Replicate Table A16 and Figure A27
. 
. xtmelogit inalliance l.pss norepres lopposition l.office_exp l.alliance_exp l.totparlparties party_age  if linalliance==1   || ccode: || party_id:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-120.74833}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-119.08643}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-118.73233}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-118.73233}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-118.70848}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-118.70712}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-118.70712}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       312

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      14{col 31}        1{col 42}     22.3{col 53}       73{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     106{col 31}        1{col 42}      2.9{col 53}       26{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    22.38
{txt}Log likelihood = {res}-118.70712{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0022

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    inalliance{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}pss {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}  .535699{col 28}{space 2} .1670414{col 39}{space 1}    3.21{col 48}{space 3}0.001{col 56}{space 4} .2083038{col 69}{space 3} .8630942
{txt}{space 14} {c |}
{space 6}norepres {c |}{col 16}{res}{space 2}-.7058039{col 28}{space 2} .6261101{col 39}{space 1}   -1.13{col 48}{space 3}0.260{col 56}{space 4}-1.932957{col 69}{space 3} .5213494
{txt}{space 3}lopposition {c |}{col 16}{res}{space 2}-.3108004{col 28}{space 2}  .592871{col 39}{space 1}   -0.52{col 48}{space 3}0.600{col 56}{space 4}-1.472806{col 69}{space 3} .8512053
{txt}{space 14} {c |}
{space 4}office_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.2753036{col 28}{space 2} .8207433{col 39}{space 1}   -0.34{col 48}{space 3}0.737{col 56}{space 4}-1.883931{col 69}{space 3} 1.333324
{txt}{space 14} {c |}
{space 2}alliance_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} 2.036153{col 28}{space 2} .6789266{col 39}{space 1}    3.00{col 48}{space 3}0.003{col 56}{space 4} .7054809{col 69}{space 3} 3.366824
{txt}{space 14} {c |}
totparlparties {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} -.140611{col 28}{space 2} .0778334{col 39}{space 1}   -1.81{col 48}{space 3}0.071{col 56}{space 4}-.2931618{col 69}{space 3} .0119397
{txt}{space 14} {c |}
{space 5}party_age {c |}{col 16}{res}{space 2} .0061322{col 28}{space 2} .0065802{col 39}{space 1}    0.93{col 48}{space 3}0.351{col 56}{space 4}-.0067648{col 69}{space 3} .0190291
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.009327{col 28}{space 2} 1.134221{col 39}{space 1}    0.89{col 48}{space 3}0.374{col 56}{space 4}-1.213706{col 69}{space 3}  3.23236
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .9909705{col 44}  .855103{col 58} .1826264{col 70} 5.377221
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.22e-11{col 44} .0000136{col 58}        0{col 70}        .
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}3.50{col 59}{txt}Prob > chi2 ={col 73}{res}0.1738

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod1
{txt}
{com}. 
. xtmelogit inalliance l.pss l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age  if linalliance==0 || ccode: || party_id:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-184.17204}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-177.58294}  (not concave)
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-176.65083}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-176.65083}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-175.27218}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-175.17234}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:  -175.172}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:  -175.172}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,888

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       12{col 42}     89.9{col 53}      209{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     242{col 31}        1{col 42}      7.8{col 53}       26{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}    20.92
{txt}Log likelihood = {res}  -175.172{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0130

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    inalliance{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}pss {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}  .549417{col 28}{space 2} .2158796{col 39}{space 1}    2.55{col 48}{space 3}0.011{col 56}{space 4} .1263008{col 69}{space 3} .9725332
{txt}{space 14} {c |}
{space 4}advantager {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-1.454344{col 28}{space 2} .9700067{col 39}{space 1}   -1.50{col 48}{space 3}0.134{col 56}{space 4}-3.355522{col 69}{space 3} .4468341
{txt}{space 14} {c |}
{space 6}norepres {c |}{col 16}{res}{space 2} .9278752{col 28}{space 2} 1.007624{col 39}{space 1}    0.92{col 48}{space 3}0.357{col 56}{space 4}-1.047032{col 69}{space 3} 2.902782
{txt}{space 3}lopposition {c |}{col 16}{res}{space 2}-.3177147{col 28}{space 2} .6745196{col 39}{space 1}   -0.47{col 48}{space 3}0.638{col 56}{space 4}-1.639749{col 69}{space 3}  1.00432
{txt}{space 14} {c |}
{space 4}office_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} -1.07496{col 28}{space 2}  1.06812{col 39}{space 1}   -1.01{col 48}{space 3}0.314{col 56}{space 4}-3.168437{col 69}{space 3} 1.018516
{txt}{space 14} {c |}
{space 2}alliance_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-6.119074{col 28}{space 2} 4.924714{col 39}{space 1}   -1.24{col 48}{space 3}0.214{col 56}{space 4}-15.77134{col 69}{space 3} 3.533189
{txt}{space 14} {c |}
totparlparties {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .0830141{col 28}{space 2} .1094889{col 39}{space 1}    0.76{col 48}{space 3}0.448{col 56}{space 4}-.1315802{col 69}{space 3} .2976083
{txt}{space 14} {c |}
{space 2}lr_extremity {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.0629321{col 28}{space 2} .1127987{col 39}{space 1}   -0.56{col 48}{space 3}0.577{col 56}{space 4}-.2840135{col 69}{space 3} .1581492
{txt}{space 14} {c |}
{space 5}party_age {c |}{col 16}{res}{space 2} .0087483{col 28}{space 2} .0101592{col 39}{space 1}    0.86{col 48}{space 3}0.389{col 56}{space 4}-.0111634{col 69}{space 3}   .02866
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-5.233689{col 28}{space 2} 1.677362{col 39}{space 1}   -3.12{col 48}{space 3}0.002{col 56}{space 4}-8.521258{col 69}{space 3}-1.946121
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 4.046535{col 44} 2.943788{col 58} .9724069{col 70} 16.83908
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 4.384546{col 44} 3.693315{col 58}  .841233{col 70} 22.85246
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}33.61{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod2
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##c.party_age l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity  if linalliance==0  || ccode: || party_id:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-184.15509}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-177.46871}  (not concave)
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-176.40612}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-176.40612}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-174.83868}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-174.74331}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-174.74274}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-174.74274}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,888

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       12{col 42}     89.9{col 53}      209{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     242{col 31}        1{col 42}      7.8{col 53}       26{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}10{txt}){col 67}={col 70}{res}    21.02
{txt}Log likelihood = {res}-174.74274{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0210

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        inalliance{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .4018209{col 32}{space 2} .2638805{col 43}{space 1}    1.52{col 52}{space 3}0.128{col 60}{space 4}-.1153755{col 73}{space 3} .9190172
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2} .0059059{col 32}{space 2} .0108084{col 43}{space 1}    0.55{col 52}{space 3}0.585{col 60}{space 4}-.0152782{col 73}{space 3}   .02709
{txt}{space 18} {c |}
cL.pss#c.party_age {c |}{col 20}{res}{space 2} .0051355{col 32}{space 2} .0057371{col 43}{space 1}    0.90{col 52}{space 3}0.371{col 60}{space 4} -.006109{col 73}{space 3}   .01638
{txt}{space 18} {c |}
{space 8}advantager {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-1.476849{col 32}{space 2} .9956601{col 43}{space 1}   -1.48{col 52}{space 3}0.138{col 60}{space 4}-3.428307{col 73}{space 3} .4746092
{txt}{space 18} {c |}
{space 10}norepres {c |}{col 20}{res}{space 2}  .877883{col 32}{space 2} 1.027619{col 43}{space 1}    0.85{col 52}{space 3}0.393{col 60}{space 4}-1.136213{col 73}{space 3} 2.891979
{txt}{space 7}lopposition {c |}{col 20}{res}{space 2}-.3844448{col 32}{space 2} .6886677{col 43}{space 1}   -0.56{col 52}{space 3}0.577{col 60}{space 4}-1.734209{col 73}{space 3}  .965319
{txt}{space 18} {c |}
{space 8}office_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-1.223714{col 32}{space 2} 1.118379{col 43}{space 1}   -1.09{col 52}{space 3}0.274{col 60}{space 4}-3.415696{col 73}{space 3} .9682686
{txt}{space 18} {c |}
{space 6}alliance_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-6.718873{col 32}{space 2} 5.055748{col 43}{space 1}   -1.33{col 52}{space 3}0.184{col 60}{space 4}-16.62796{col 73}{space 3} 3.190211
{txt}{space 18} {c |}
{space 4}totparlparties {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .0698459{col 32}{space 2} .1142222{col 43}{space 1}    0.61{col 52}{space 3}0.541{col 60}{space 4}-.1540255{col 73}{space 3} .2937172
{txt}{space 18} {c |}
{space 6}lr_extremity {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.0526024{col 32}{space 2} .1145112{col 43}{space 1}   -0.46{col 52}{space 3}0.646{col 60}{space 4}-.2770402{col 73}{space 3} .1718355
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-5.103978{col 32}{space 2} 1.694282{col 43}{space 1}   -3.01{col 52}{space 3}0.003{col 60}{space 4} -8.42471{col 73}{space 3}-1.783247
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 4.505745{col 44} 3.312616{col 58}  1.06651{col 70} 19.03568
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 5.086387{col 44} 4.085725{col 58}  1.05358{col 70} 24.55564
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}34.47{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod3
{txt}
{com}. 
. margins, dydx(L.pss) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,888

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:62._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}61}{p_end}
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,305 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(4,011 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##c.leaderdom l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age if linalliance==0  || ccode: || party_id:, var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-76.504296}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-68.359511}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-66.146516}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-66.146516}  (not concave)
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.981599}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-65.292448}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-65.073102}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-65.055887}  
{res}{txt}Iteration 5:{space 3}log likelihood = {res:-65.055842}  
{res}{txt}Iteration 6:{space 3}log likelihood = {res:-65.055842}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,252

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      18{col 31}        8{col 42}     69.6{col 53}      191{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     105{col 31}        1{col 42}     11.9{col 53}       26{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}11{txt}){col 67}={col 70}{res}    14.70
{txt}Log likelihood = {res}-65.055842{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.1967

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        inalliance{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} 3.059709{col 32}{space 2} 1.344357{col 43}{space 1}    2.28{col 52}{space 3}0.023{col 60}{space 4} .4248181{col 73}{space 3} 5.694599
{txt}{space 18} {c |}
{space 9}leaderdom {c |}{col 20}{res}{space 2} .2809885{col 32}{space 2} .1951504{col 43}{space 1}    1.44{col 52}{space 3}0.150{col 60}{space 4}-.1014993{col 73}{space 3} .6634763
{txt}{space 18} {c |}
cL.pss#c.leaderdom {c |}{col 20}{res}{space 2}-.0667575{col 32}{space 2} .0550693{col 43}{space 1}   -1.21{col 52}{space 3}0.225{col 60}{space 4}-.1746914{col 73}{space 3} .0411763
{txt}{space 18} {c |}
{space 8}advantager {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-1.439774{col 32}{space 2}  2.01951{col 43}{space 1}   -0.71{col 52}{space 3}0.476{col 60}{space 4}-5.397941{col 73}{space 3} 2.518392
{txt}{space 18} {c |}
{space 10}norepres {c |}{col 20}{res}{space 2}-1.795816{col 32}{space 2} 2.449914{col 43}{space 1}   -0.73{col 52}{space 3}0.464{col 60}{space 4}-6.597558{col 73}{space 3} 3.005927
{txt}{space 7}lopposition {c |}{col 20}{res}{space 2} .0661338{col 32}{space 2} 1.030156{col 43}{space 1}    0.06{col 52}{space 3}0.949{col 60}{space 4}-1.952935{col 73}{space 3} 2.085202
{txt}{space 18} {c |}
{space 8}office_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.6139391{col 32}{space 2} 1.966143{col 43}{space 1}   -0.31{col 52}{space 3}0.755{col 60}{space 4}-4.467509{col 73}{space 3} 3.239631
{txt}{space 18} {c |}
{space 6}alliance_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-23.89049{col 32}{space 2}  15.4543{col 43}{space 1}   -1.55{col 52}{space 3}0.122{col 60}{space 4}-54.18036{col 73}{space 3} 6.399382
{txt}{space 18} {c |}
{space 4}totparlparties {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.1224828{col 32}{space 2} .2364409{col 43}{space 1}   -0.52{col 52}{space 3}0.604{col 60}{space 4}-.5858985{col 73}{space 3} .3409329
{txt}{space 18} {c |}
{space 6}lr_extremity {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.3746911{col 32}{space 2} .4043777{col 43}{space 1}   -0.93{col 52}{space 3}0.354{col 60}{space 4}-1.167257{col 73}{space 3} .4178747
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2} .0186886{col 32}{space 2} .0206162{col 43}{space 1}    0.91{col 52}{space 3}0.365{col 60}{space 4}-.0217185{col 73}{space 3} .0590956
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-12.37215{col 32}{space 2} 5.783982{col 43}{space 1}   -2.14{col 52}{space 3}0.032{col 60}{space 4}-23.70854{col 73}{space 3}-1.035753
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 14.39767{col 44} 12.81556{col 58} 2.515513{col 70} 82.40583
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 5.697921{col 44} 7.396431{col 58}  .447484{col 70} 72.55298
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}29.61{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod4
{txt}
{com}. 
. margins, dydx(L.pss) at(leaderdom=(0(1)30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,252

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 3.059709{col 26}{space 2} 1.344357{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .4248181{col 67}{space 3} 5.694599
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 2.992951{col 26}{space 2} 1.293635{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .4574729{col 67}{space 3} 5.528429
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.926193{col 26}{space 2} 1.243284{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .4894026{col 67}{space 3} 5.362984
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 2.859436{col 26}{space 2} 1.193349{col 37}{space 1}    2.40{col 46}{space 3}0.017{col 54}{space 4} .5205152{col 67}{space 3} 5.198357
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 2.792678{col 26}{space 2} 1.143886{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .5507038{col 67}{space 3} 5.034653
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 2.725921{col 26}{space 2} 1.094958{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .5798432{col 67}{space 3} 4.871999
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 2.659163{col 26}{space 2}  1.04664{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .6077862{col 67}{space 3} 4.710541
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 2.592406{col 26}{space 2} .9990218{col 37}{space 1}    2.59{col 46}{space 3}0.009{col 54}{space 4} .6343592{col 67}{space 3} 4.550453
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 2.525648{col 26}{space 2} .9522071{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .6593568{col 67}{space 3}  4.39194
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 2.458891{col 26}{space 2} .9063209{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .6825347{col 67}{space 3} 4.235247
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 2.392133{col 26}{space 2} .8615114{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4} .7036021{col 67}{space 3} 4.080665
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 2.325376{col 26}{space 2} .8179557{col 37}{space 1}    2.84{col 46}{space 3}0.004{col 54}{space 4} .7222121{col 67}{space 3}  3.92854
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 2.258618{col 26}{space 2}  .775865{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4}  .737951{col 67}{space 3} 3.779286
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 2.191861{col 26}{space 2} .7354907{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .7503255{col 67}{space 3} 3.633396
{txt}{space 9}15  {c |}{col 14}{res}{space 2} 2.125103{col 26}{space 2} .6971313{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} .7587511{col 67}{space 3} 3.491455
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 2.058346{col 26}{space 2} .6611374{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .7625403{col 67}{space 3} 3.354151
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 1.991588{col 26}{space 2} .6279161{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .7608953{col 67}{space 3} 3.222281
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 1.924831{col 26}{space 2} .5979296{col 37}{space 1}    3.22{col 46}{space 3}0.001{col 54}{space 4} .7529103{col 67}{space 3} 3.096751
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 1.858073{col 26}{space 2} .5716872{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .7375869{col 67}{space 3}  2.97856
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 1.791316{col 26}{space 2} .5497253{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .7138739{col 67}{space 3} 2.868758
{txt}{space 9}21  {c |}{col 14}{res}{space 2} 1.724558{col 26}{space 2} .5325738{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .6807326{col 67}{space 3} 2.768384
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 1.657801{col 26}{space 2} .5207083{col 37}{space 1}    3.18{col 46}{space 3}0.001{col 54}{space 4} .6372312{col 67}{space 3}  2.67837
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 1.591043{col 26}{space 2} .5144945{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4} .5826525{col 67}{space 3} 2.599434
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 1.524286{col 26}{space 2} .5141374{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .5165948{col 67}{space 3} 2.531977
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 1.457528{col 26}{space 2} .5196492{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .4390344{col 67}{space 3} 2.476022
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 1.390771{col 26}{space 2}  .530847{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .3503296{col 67}{space 3} 2.431212
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 1.324013{col 26}{space 2}  .547382{col 37}{space 1}    2.42{col 46}{space 3}0.016{col 54}{space 4} .2511641{col 67}{space 3} 2.396862
{txt}{space 9}28  {c |}{col 14}{res}{space 2} 1.257256{col 26}{space 2} .5687889{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .1424499{col 67}{space 3} 2.372061
{txt}{space 9}29  {c |}{col 14}{res}{space 2} 1.190498{col 26}{space 2} .5945417{col 37}{space 1}    2.00{col 46}{space 3}0.045{col 54}{space 4} .0252178{col 67}{space 3} 2.355778
{txt}{space 9}30  {c |}{col 14}{res}{space 2} 1.123741{col 26}{space 2} .6241026{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0994781{col 67}{space 3} 2.346959
{txt}{space 9}31  {c |}{col 14}{res}{space 2} 1.056983{col 26}{space 2} .6569578{col 37}{space 1}    1.61{col 46}{space 3}0.108{col 54}{space 4}-.2306306{col 67}{space 3} 2.344597
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,941 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 30 31
{txt}(4,162 missing values generated)

{com}. 
. twoway hist leaderdom if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Leader dominance",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##c.l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age if linalliance==0  || ccode: || party_id:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-183.14883}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-176.30863}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-175.63997}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-175.63997}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-174.28576}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-174.19123}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-174.19085}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-174.19085}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,888

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       12{col 42}     89.9{col 53}      209{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     242{col 31}        1{col 42}      7.8{col 53}       26{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}11{txt}){col 67}={col 70}{res}    20.58
{txt}Log likelihood = {res}-174.19085{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0380

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          inalliance{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}pss {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .4958485{col 34}{space 2} .2782568{col 45}{space 1}    1.78{col 54}{space 3}0.075{col 62}{space 4}-.0495249{col 75}{space 3} 1.041222
{txt}{space 20} {c |}
{space 10}vote_share {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0440638{col 34}{space 2} .0349692{col 45}{space 1}   -1.26{col 54}{space 3}0.208{col 62}{space 4}-.1126021{col 75}{space 3} .0244744
{txt}{space 20} {c |}
cL.pss#cL.vote_share {c |}{col 22}{res}{space 2} .0065581{col 34}{space 2} .0199119{col 45}{space 1}    0.33{col 54}{space 3}0.742{col 62}{space 4}-.0324686{col 75}{space 3} .0455848
{txt}{space 20} {c |}
{space 10}advantager {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-1.066593{col 34}{space 2} .9784399{col 45}{space 1}   -1.09{col 54}{space 3}0.276{col 62}{space 4}  -2.9843{col 75}{space 3}  .851114
{txt}{space 20} {c |}
{space 12}norepres {c |}{col 22}{res}{space 2} .9834356{col 34}{space 2} .9898429{col 45}{space 1}    0.99{col 54}{space 3}0.320{col 62}{space 4}-.9566209{col 75}{space 3} 2.923492
{txt}{space 9}lopposition {c |}{col 22}{res}{space 2}-.3444104{col 34}{space 2} .6828533{col 45}{space 1}   -0.50{col 54}{space 3}0.614{col 62}{space 4}-1.682778{col 75}{space 3} .9939574
{txt}{space 20} {c |}
{space 10}office_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.7778476{col 34}{space 2} 1.083864{col 45}{space 1}   -0.72{col 54}{space 3}0.473{col 62}{space 4}-2.902182{col 75}{space 3} 1.346486
{txt}{space 20} {c |}
{space 8}alliance_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-5.982598{col 34}{space 2} 5.041948{col 45}{space 1}   -1.19{col 54}{space 3}0.235{col 62}{space 4}-15.86464{col 75}{space 3} 3.899439
{txt}{space 20} {c |}
{space 6}totparlparties {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .0560212{col 34}{space 2} .1114059{col 45}{space 1}    0.50{col 54}{space 3}0.615{col 62}{space 4}-.1623304{col 75}{space 3} .2743727
{txt}{space 20} {c |}
{space 8}lr_extremity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0610771{col 34}{space 2} .1103873{col 45}{space 1}   -0.55{col 54}{space 3}0.580{col 62}{space 4}-.2774322{col 75}{space 3} .1552781
{txt}{space 20} {c |}
{space 11}party_age {c |}{col 22}{res}{space 2} .0105532{col 34}{space 2} .0105033{col 45}{space 1}    1.00{col 54}{space 3}0.315{col 62}{space 4}-.0100329{col 75}{space 3} .0311394
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-4.899525{col 34}{space 2} 1.648478{col 45}{space 1}   -2.97{col 54}{space 3}0.003{col 62}{space 4}-8.130483{col 75}{space 3}-1.668567
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.993293{col 44} 2.915596{col 58} .9546612{col 70} 16.70372
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 4.062319{col 44} 3.672949{col 58} .6904933{col 70} 23.89949
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}34.23{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod5
{txt}
{com}. 
. margins, dydx(L.pss) at(L.vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,888

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4958485{col 26}{space 2} .2782568{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.0495249{col 67}{space 3} 1.041222
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .5024066{col 26}{space 2}  .266054{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}-.0190496{col 67}{space 3} 1.023863
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .5089647{col 26}{space 2} .2548246{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} .0095177{col 67}{space 3} 1.008412
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .5155228{col 26}{space 2} .2447026{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0359145{col 67}{space 3} .9951311
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .5220809{col 26}{space 2} .2358307{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0598611{col 67}{space 3} .9843007
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  .528639{col 26}{space 2} .2283547{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4}  .081072{col 67}{space 3} .9762061
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .5351971{col 26}{space 2} .2224154{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4}  .099271{col 67}{space 3} .9711232
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{txt}{space 9}12  {c |}{col 14}{res}{space 2} .5679876{col 26}{space 2}  .219036{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4}  .138685{col 67}{space 3} .9972902
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .5745457{col 26}{space 2} .2237349{col 37}{space 1}    2.57{col 46}{space 3}0.010{col 54}{space 4} .1360334{col 67}{space 3} 1.013058
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .5811038{col 26}{space 2}  .230067{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .1301809{col 67}{space 3} 1.032027
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{txt}{space 9}16  {c |}{col 14}{res}{space 2}   .59422{col 26}{space 2} .2470966{col 37}{space 1}    2.40{col 46}{space 3}0.016{col 54}{space 4} .1099195{col 67}{space 3}  1.07852
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{txt}{space 9}25  {c |}{col 14}{res}{space 2} .6532429{col 26}{space 2} .3699669{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4} -.071879{col 67}{space 3} 1.378365
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  .659801{col 26}{space 2} .3863479{col 37}{space 1}    1.71{col 46}{space 3}0.088{col 54}{space 4} -.097427{col 67}{space 3} 1.417029
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{txt}{space 9}28  {c |}{col 14}{res}{space 2} .6729172{col 26}{space 2} .4200261{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4}-.1503189{col 67}{space 3} 1.496153
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .6794753{col 26}{space 2} .4372528{col 37}{space 1}    1.55{col 46}{space 3}0.120{col 54}{space 4}-.1775245{col 67}{space 3} 1.536475
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .6860334{col 26}{space 2} .4546989{col 37}{space 1}    1.51{col 46}{space 3}0.131{col 54}{space 4}  -.20516{col 67}{space 3} 1.577227
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .6925915{col 26}{space 2}   .47234{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4}-.2331779{col 67}{space 3} 1.618361
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .6991496{col 26}{space 2} .4901551{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4}-.2615369{col 67}{space 3} 1.659836
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .7057077{col 26}{space 2}  .508126{col 37}{space 1}    1.39{col 46}{space 3}0.165{col 54}{space 4} -.290201{col 67}{space 3} 1.701616
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .7122657{col 26}{space 2} .5262366{col 37}{space 1}    1.35{col 46}{space 3}0.176{col 54}{space 4} -.319139{col 67}{space 3} 1.743671
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .7188238{col 26}{space 2}  .544473{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.3483236{col 67}{space 3} 1.785971
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .7253819{col 26}{space 2}  .562823{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-.3777309{col 67}{space 3} 1.828495
{txt}{space 9}37  {c |}{col 14}{res}{space 2}   .73194{col 26}{space 2} .5812758{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.4073396{col 67}{space 3}  1.87122
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .7384981{col 26}{space 2}  .599822{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-.4371313{col 67}{space 3} 1.914128
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .7450562{col 26}{space 2}  .618453{col 37}{space 1}    1.20{col 46}{space 3}0.228{col 54}{space 4}-.4670895{col 67}{space 3} 1.957202
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .7516143{col 26}{space 2} .6371616{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.4971995{col 67}{space 3} 2.000428
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .7581724{col 26}{space 2}  .655941{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4}-.5274484{col 67}{space 3} 2.043793
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .7647305{col 26}{space 2} .6747854{col 37}{space 1}    1.13{col 46}{space 3}0.257{col 54}{space 4}-.5578246{col 67}{space 3} 2.087286
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .7712886{col 26}{space 2} .6936894{col 37}{space 1}    1.11{col 46}{space 3}0.266{col 54}{space 4}-.5883177{col 67}{space 3} 2.130895
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .7778467{col 26}{space 2} .7126483{col 37}{space 1}    1.09{col 46}{space 3}0.275{col 54}{space 4}-.6189184{col 67}{space 3} 2.174612
{txt}{space 9}45  {c |}{col 14}{res}{space 2} .7844048{col 26}{space 2} .7316579{col 37}{space 1}    1.07{col 46}{space 3}0.284{col 54}{space 4}-.6496183{col 67}{space 3} 2.218428
{txt}{space 9}46  {c |}{col 14}{res}{space 2} .7909629{col 26}{space 2} .7507142{col 37}{space 1}    1.05{col 46}{space 3}0.292{col 54}{space 4}-.6804099{col 67}{space 3} 2.262336
{txt}{space 9}47  {c |}{col 14}{res}{space 2}  .797521{col 26}{space 2} .7698139{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.7112865{col 67}{space 3} 2.306328
{txt}{space 9}48  {c |}{col 14}{res}{space 2} .8040791{col 26}{space 2} .7889537{col 37}{space 1}    1.02{col 46}{space 3}0.308{col 54}{space 4}-.7422417{col 67}{space 3}   2.3504
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .8106372{col 26}{space 2} .8081308{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4}-.7732701{col 67}{space 3} 2.394545
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .8171953{col 26}{space 2} .8273427{col 37}{space 1}    0.99{col 46}{space 3}0.323{col 54}{space 4}-.8043665{col 67}{space 3} 2.438757
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .8237534{col 26}{space 2} .8465869{col 37}{space 1}    0.97{col 46}{space 3}0.331{col 54}{space 4}-.8355264{col 67}{space 3} 2.483033
{txt}{space 9}52  {c |}{col 14}{res}{space 2} .8303115{col 26}{space 2} .8658613{col 37}{space 1}    0.96{col 46}{space 3}0.338{col 54}{space 4}-.8667454{col 67}{space 3} 2.527368
{txt}{space 9}53  {c |}{col 14}{res}{space 2} .8368696{col 26}{space 2} .8851639{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-.8980197{col 67}{space 3} 2.571759
{txt}{space 9}54  {c |}{col 14}{res}{space 2} .8434277{col 26}{space 2} .9044929{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4}-.9293459{col 67}{space 3} 2.616201
{txt}{space 9}55  {c |}{col 14}{res}{space 2} .8499858{col 26}{space 2} .9238467{col 37}{space 1}    0.92{col 46}{space 3}0.358{col 54}{space 4}-.9607205{col 67}{space 3} 2.660692
{txt}{space 9}56  {c |}{col 14}{res}{space 2} .8565439{col 26}{space 2} .9432238{col 37}{space 1}    0.91{col 46}{space 3}0.364{col 54}{space 4}-.9921407{col 67}{space 3} 2.705229
{txt}{space 9}57  {c |}{col 14}{res}{space 2}  .863102{col 26}{space 2} .9626226{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-1.023604{col 67}{space 3} 2.749808
{txt}{space 9}58  {c |}{col 14}{res}{space 2} .8696601{col 26}{space 2}  .982042{col 37}{space 1}    0.89{col 46}{space 3}0.376{col 54}{space 4}-1.055107{col 67}{space 3} 2.794427
{txt}{space 9}59  {c |}{col 14}{res}{space 2} .8762182{col 26}{space 2} 1.001481{col 37}{space 1}    0.87{col 46}{space 3}0.382{col 54}{space 4}-1.086648{col 67}{space 3} 2.839084
{txt}{space 9}60  {c |}{col 14}{res}{space 2} .8827763{col 26}{space 2} 1.020938{col 37}{space 1}    0.86{col 46}{space 3}0.387{col 54}{space 4}-1.118225{col 67}{space 3} 2.883778
{txt}{space 9}61  {c |}{col 14}{res}{space 2} .8893344{col 26}{space 2} 1.040412{col 37}{space 1}    0.85{col 46}{space 3}0.393{col 54}{space 4}-1.149836{col 67}{space 3} 2.928504
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,305 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(4,132 missing values generated)

{com}. 
. twoway hist lsize if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size t-1",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(c, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##i.lopposition l.advantager norepres  l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age  if linalliance==0  || ccode: || party_id:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-184.24916}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-177.55403}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -176.8407}  (backed up)
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -176.8407}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-175.24231}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-175.14819}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-175.14771}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-175.14771}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,888

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       12{col 42}     89.9{col 53}      209{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     242{col 31}        1{col 42}      7.8{col 53}       26{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}10{txt}){col 67}={col 70}{res}    21.00
{txt}Log likelihood = {res}-175.14771{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0211

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        inalliance{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .5844576{col 32}{space 2} .2695455{col 43}{space 1}    2.17{col 52}{space 3}0.030{col 60}{space 4} .0561582{col 73}{space 3} 1.112757
{txt}{space 18} {c |}
{space 7}lopposition {c |}
{space 3}Opposition t-1  {c |}{col 20}{res}{space 2}-.2569111{col 32}{space 2} .7297436{col 43}{space 1}   -0.35{col 52}{space 3}0.725{col 60}{space 4}-1.687182{col 73}{space 3}  1.17336
{txt}{space 18} {c |}
lopposition#cL.pss {c |}
{space 3}Opposition t-1  {c |}{col 20}{res}{space 2}-.0580897{col 32}{space 2} .2635463{col 43}{space 1}   -0.22{col 52}{space 3}0.826{col 60}{space 4} -.574631{col 73}{space 3} .4584516
{txt}{space 18} {c |}
{space 8}advantager {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-1.450665{col 32}{space 2} .9689742{col 43}{space 1}   -1.50{col 52}{space 3}0.134{col 60}{space 4} -3.34982{col 73}{space 3} .4484891
{txt}{space 18} {c |}
{space 10}norepres {c |}{col 20}{res}{space 2} .9277225{col 32}{space 2}  1.00524{col 43}{space 1}    0.92{col 52}{space 3}0.356{col 60}{space 4}-1.042511{col 73}{space 3} 2.897956
{txt}{space 18} {c |}
{space 8}office_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-1.069534{col 32}{space 2} 1.067214{col 43}{space 1}   -1.00{col 52}{space 3}0.316{col 60}{space 4}-3.161235{col 73}{space 3} 1.022167
{txt}{space 18} {c |}
{space 6}alliance_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-6.057828{col 32}{space 2} 4.904729{col 43}{space 1}   -1.24{col 52}{space 3}0.217{col 60}{space 4}-15.67092{col 73}{space 3} 3.555264
{txt}{space 18} {c |}
{space 4}totparlparties {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}  .083498{col 32}{space 2} .1094318{col 43}{space 1}    0.76{col 52}{space 3}0.445{col 60}{space 4}-.1309843{col 73}{space 3} .2979803
{txt}{space 18} {c |}
{space 6}lr_extremity {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.0614074{col 32}{space 2} .1129733{col 43}{space 1}   -0.54{col 52}{space 3}0.587{col 60}{space 4}-.2828311{col 73}{space 3} .1600162
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2} .0087027{col 32}{space 2} .0101323{col 43}{space 1}    0.86{col 52}{space 3}0.390{col 60}{space 4}-.0111563{col 73}{space 3} .0285617
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-5.280625{col 32}{space 2} 1.691545{col 43}{space 1}   -3.12{col 52}{space 3}0.002{col 60}{space 4}-8.595993{col 73}{space 3}-1.965258
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 4.044906{col 44} 2.935943{col 58} .9751575{col 70} 16.77807
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 4.348197{col 44} 3.667108{col 58}  .832602{col 70} 22.70811
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}33.61{col 59}{txt}Prob > chi2 ={col 73}{res}0.0000

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod6
{txt}
{com}. 
. margins, dydx(L.pss) at(lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,888

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5844576{col 26}{space 2} .2695455{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0561582{col 67}{space 3} 1.112757
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .5263679{col 26}{space 2} .2380023{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0598919{col 67}{space 3} .9928439
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA27.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5 mod6 ,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA16.csv", replace
{txt}
{com}. 
. **Replicate Table A17 and Figure A28
. 
. preserve
{txt}
{com}. 
. drop if elec_year==elec_year_parl2
{txt}(260 observations deleted)

{com}. 
. xtmelogit merger pss party_age advantager norepres2 opposition office_exp alliance_exp lr_extremity reg_cost party_fin ln_petit || ccode: || party_id:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-63.981533}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-61.998146}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-61.349714}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-61.349714}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-61.257699}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -61.24972}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-61.249692}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-61.249692}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,472

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      19{col 31}        5{col 42}     77.5{col 53}      197{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     199{col 31}        1{col 42}      7.4{col 53}       22{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}11{txt}){col 67}={col 70}{res}    17.03
{txt}Log likelihood = {res}-61.249692{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.1069

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      merger{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}pss {c |}{col 14}{res}{space 2} .1745027{col 26}{space 2} .2446649{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4}-.3050317{col 67}{space 3} .6540371
{txt}{space 3}party_age {c |}{col 14}{res}{space 2}-.0106944{col 26}{space 2} .0119582{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-.0341321{col 67}{space 3} .0127433
{txt}{space 2}advantager {c |}{col 14}{res}{space 2} -.730149{col 26}{space 2} 1.394973{col 37}{space 1}   -0.52{col 46}{space 3}0.601{col 54}{space 4}-3.464245{col 67}{space 3} 2.003947
{txt}{space 3}norepres2 {c |}{col 14}{res}{space 2} 1.547896{col 26}{space 2} 1.359068{col 37}{space 1}    1.14{col 46}{space 3}0.255{col 54}{space 4}-1.115828{col 67}{space 3} 4.211619
{txt}{space 2}opposition {c |}{col 14}{res}{space 2} .5667296{col 26}{space 2} 1.177949{col 37}{space 1}    0.48{col 46}{space 3}0.630{col 54}{space 4}-1.742008{col 67}{space 3} 2.875467
{txt}{space 2}office_exp {c |}{col 14}{res}{space 2}  .498165{col 26}{space 2} 1.533862{col 37}{space 1}    0.32{col 46}{space 3}0.745{col 54}{space 4}-2.508149{col 67}{space 3} 3.504479
{txt}alliance_exp {c |}{col 14}{res}{space 2} .9163587{col 26}{space 2} 1.376878{col 37}{space 1}    0.67{col 46}{space 3}0.506{col 54}{space 4}-1.782273{col 67}{space 3} 3.614991
{txt}lr_extremity {c |}{col 14}{res}{space 2}-.1021294{col 26}{space 2} .1936023{col 37}{space 1}   -0.53{col 46}{space 3}0.598{col 54}{space 4}-.4815829{col 67}{space 3} .2773242
{txt}{space 4}reg_cost {c |}{col 14}{res}{space 2} -5.93131{col 26}{space 2} 9.983949{col 37}{space 1}   -0.59{col 46}{space 3}0.552{col 54}{space 4}-25.49949{col 67}{space 3} 13.63687
{txt}{space 3}party_fin {c |}{col 14}{res}{space 2} .2810705{col 26}{space 2} .7471096{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-1.183237{col 67}{space 3} 1.745378
{txt}{space 4}ln_petit {c |}{col 14}{res}{space 2}-.1301947{col 26}{space 2} .1966234{col 37}{space 1}   -0.66{col 46}{space 3}0.508{col 54}{space 4}-.5155696{col 67}{space 3} .2551801
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.782905{col 26}{space 2}   1.9671{col 37}{space 1}   -2.43{col 46}{space 3}0.015{col 54}{space 4}-8.638351{col 67}{space 3}-.9274591
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3606443{col 44} .7602239{col 58} .0057914{col 70} 22.45836
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 2.43e-19{col 44} 7.72e-10{col 58}        0{col 70}        .
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}0.27{col 59}{txt}Prob > chi2 ={col 73}{res}0.8720

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod1
{txt}
{com}. 
. xtmelogit  merger pss party_age norepres2 opposition office_exp alliance_exp   || ccode: || party_id:, 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-268.61346}  (not concave)
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-264.15789}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-263.12608}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-263.12608}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-263.10933}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-263.10925}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-263.10925}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     3,008

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       45{col 42}    143.2{col 53}      266{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     508{col 31}        1{col 42}      5.9{col 53}       26{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}    24.10
{txt}Log likelihood = {res}-263.10925{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0005

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      merger{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}pss {c |}{col 14}{res}{space 2} .0588388{col 26}{space 2} .1112385{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4}-.1591846{col 67}{space 3} .2768623
{txt}{space 3}party_age {c |}{col 14}{res}{space 2}-.0110494{col 26}{space 2} .0070318{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4}-.0248314{col 67}{space 3} .0027327
{txt}{space 3}norepres2 {c |}{col 14}{res}{space 2} .3163858{col 26}{space 2} .3777739{col 37}{space 1}    0.84{col 46}{space 3}0.402{col 54}{space 4}-.4240375{col 67}{space 3} 1.056809
{txt}{space 2}opposition {c |}{col 14}{res}{space 2} 1.355176{col 26}{space 2} .6549816{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0714352{col 67}{space 3} 2.638916
{txt}{space 2}office_exp {c |}{col 14}{res}{space 2} .2955625{col 26}{space 2} .7401562{col 37}{space 1}    0.40{col 46}{space 3}0.690{col 54}{space 4}-1.155117{col 67}{space 3} 1.746242
{txt}alliance_exp {c |}{col 14}{res}{space 2} 1.643138{col 26}{space 2} .5393776{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} .5859772{col 67}{space 3} 2.700299
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.607515{col 26}{space 2} 1.033541{col 37}{space 1}   -5.43{col 46}{space 3}0.000{col 54}{space 4}-7.633218{col 67}{space 3}-3.581812
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 20}sd(_cons){col 30}{c |}{res}{col 33}  .626855{col 44} .2562999{col 58} .2812804{col 70} 1.396994
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 20}sd(_cons){col 30}{c |}{res}{col 33} .8623522{col 44} .8384734{col 58} .1282488{col 70} 5.798507
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}5.71{col 59}{txt}Prob > chi2 ={col 73}{res}0.0575

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod2
{txt}
{com}. 
. xtmelogit  merger c.pss##c.party_age norepres2 opposition office_exp alliance_exp  || ccode: || party_id:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-267.09362}  (not concave)
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -262.5517}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-261.35695}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-261.35695}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-261.32138}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -261.3179}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-261.31781}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-261.31781}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     3,008

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       45{col 42}    143.2{col 53}      266{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     508{col 31}        1{col 42}      5.9{col 53}       26{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    27.58
{txt}Log likelihood = {res}-261.31781{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0003

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           merger{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}pss {c |}{col 19}{res}{space 2}-.0865542{col 31}{space 2} .1317365{col 42}{space 1}   -0.66{col 51}{space 3}0.511{col 59}{space 4}-.3447529{col 72}{space 3} .1716445
{txt}{space 8}party_age {c |}{col 19}{res}{space 2}-.0160278{col 31}{space 2} .0075146{col 42}{space 1}   -2.13{col 51}{space 3}0.033{col 59}{space 4}-.0307561{col 72}{space 3}-.0012994
{txt}{space 17} {c |}
c.pss#c.party_age {c |}{col 19}{res}{space 2} .0077933{col 31}{space 2} .0039845{col 42}{space 1}    1.96{col 51}{space 3}0.050{col 59}{space 4}-.0000162{col 72}{space 3} .0156028
{txt}{space 17} {c |}
{space 8}norepres2 {c |}{col 19}{res}{space 2} .3172625{col 31}{space 2} .3594725{col 42}{space 1}    0.88{col 51}{space 3}0.377{col 59}{space 4}-.3872907{col 72}{space 3} 1.021816
{txt}{space 7}opposition {c |}{col 19}{res}{space 2} 1.294481{col 31}{space 2} .6372903{col 42}{space 1}    2.03{col 51}{space 3}0.042{col 59}{space 4} .0454151{col 72}{space 3} 2.543547
{txt}{space 7}office_exp {c |}{col 19}{res}{space 2} .2225629{col 31}{space 2} .7117813{col 42}{space 1}    0.31{col 51}{space 3}0.755{col 59}{space 4}-1.172503{col 72}{space 3} 1.617629
{txt}{space 5}alliance_exp {c |}{col 19}{res}{space 2} 1.615256{col 31}{space 2} .5176266{col 42}{space 1}    3.12{col 51}{space 3}0.002{col 59}{space 4} .6007265{col 72}{space 3} 2.629785
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-5.227308{col 31}{space 2} .9933499{col 42}{space 1}   -5.26{col 51}{space 3}0.000{col 59}{space 4}-7.174238{col 72}{space 3}-3.280378
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .3520068{col 44} .2750827{col 58} .0760962{col 70} 1.628318
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .1571968{col 44} 1.389216{col 58} 4.72e-09{col 70}  5234538
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}5.45{col 59}{txt}Prob > chi2 ={col 73}{res}0.0654

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod3
{txt}
{com}. 
. margins, dydx(pss) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,008

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}47}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}48}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}49}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}51}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}52}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}53}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}54}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}55}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}56}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}57}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}58}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}59}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}60}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:62._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}61}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:63._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}62}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:64._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}63}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:65._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}64}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:66._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}65}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:67._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}66}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:68._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}67}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:69._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}68}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:70._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}69}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:71._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}70}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:72._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}71}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
{p2col:73._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}72}{p_end}
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{txt}{space 8}180  {c |}{col 14}{res}{space 2} 1.308447{col 26}{space 2} .6438918{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0464426{col 67}{space 3} 2.570452
{txt}{space 8}181  {c |}{col 14}{res}{space 2} 1.316241{col 26}{space 2} .6478222{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0465324{col 67}{space 3} 2.585949
{txt}{space 8}182  {c |}{col 14}{res}{space 2} 1.324034{col 26}{space 2} .6517533{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0466209{col 67}{space 3} 2.601447
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(925 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(3,751 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit  merger c.pss##c.vote_share party_age norepres2 opposition office_exp alliance_exp  || ccode: || party_id:, var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-208.26591}  (not concave)
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -204.5114}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-202.44229}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-202.44229}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-202.14953}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-202.11851}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-202.11803}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-202.11803}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     2,811

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       44{col 42}    133.9{col 53}      223{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     476{col 31}        1{col 42}      5.9{col 53}       26{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}8{txt}){col 67}={col 70}{res}    14.48
{txt}Log likelihood = {res}-202.11803{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0700

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}{col 20}{res}{space 2}-.0273588{col 32}{space 2} .1510096{col 43}{space 1}   -0.18{col 52}{space 3}0.856{col 60}{space 4}-.3233321{col 73}{space 3} .2686145
{txt}{space 8}vote_share {c |}{col 20}{res}{space 2}-.1075858{col 32}{space 2} .0408516{col 43}{space 1}   -2.63{col 52}{space 3}0.008{col 60}{space 4}-.1876535{col 73}{space 3}-.0275182
{txt}{space 18} {c |}
c.pss#c.vote_share {c |}{col 20}{res}{space 2} .0259907{col 32}{space 2} .0225359{col 43}{space 1}    1.15{col 52}{space 3}0.249{col 60}{space 4}-.0181788{col 73}{space 3} .0701602
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2}-.0130512{col 32}{space 2} .0079759{col 43}{space 1}   -1.64{col 52}{space 3}0.102{col 60}{space 4}-.0286835{col 73}{space 3} .0025812
{txt}{space 9}norepres2 {c |}{col 20}{res}{space 2}-.0117528{col 32}{space 2}  .396303{col 43}{space 1}   -0.03{col 52}{space 3}0.976{col 60}{space 4}-.7884923{col 73}{space 3} .7649868
{txt}{space 8}opposition {c |}{col 20}{res}{space 2}  .981701{col 32}{space 2}  .755198{col 43}{space 1}    1.30{col 52}{space 3}0.194{col 60}{space 4}-.4984598{col 73}{space 3} 2.461862
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2} 1.095427{col 32}{space 2} .8676892{col 43}{space 1}    1.26{col 52}{space 3}0.207{col 60}{space 4}-.6052131{col 73}{space 3} 2.796066
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} .7801657{col 32}{space 2}  .717552{col 43}{space 1}    1.09{col 52}{space 3}0.277{col 60}{space 4}-.6262103{col 73}{space 3} 2.186542
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-4.538938{col 32}{space 2} .8454226{col 43}{space 1}   -5.37{col 52}{space 3}0.000{col 60}{space 4}-6.195936{col 73}{space 3}-2.881941
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  .465036{col 44} .3780639{col 58} .0945102{col 70} 2.288202
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.49e-12{col 44} 3.14e-06{col 58}        0{col 70}        .
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}4.94{col 59}{txt}Prob > chi2 ={col 73}{res}0.0846

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod4
{txt}
{com}. 
. margins, dydx(pss) at(vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,811

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0273588{col 26}{space 2} .1510096{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-.3233321{col 67}{space 3} .2686145
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0013681{col 26}{space 2}  .138995{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}-.2737934{col 67}{space 3} .2710572
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0246226{col 26}{space 2} .1298117{col 37}{space 1}    0.19{col 46}{space 3}0.850{col 54}{space 4}-.2298037{col 67}{space 3} .2790489
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0506133{col 26}{space 2} .1240898{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-.1925982{col 67}{space 3} .2938248
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  .076604{col 26}{space 2}  .122316{col 37}{space 1}    0.63{col 46}{space 3}0.531{col 54}{space 4}-.1631308{col 67}{space 3} .3163389
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1025948{col 26}{space 2} .1246589{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-.1417322{col 67}{space 3} .3469218
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1285855{col 26}{space 2} .1308978{col 37}{space 1}    0.98{col 46}{space 3}0.326{col 54}{space 4}-.1279695{col 67}{space 3} .3851404
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .1545762{col 26}{space 2} .1405146{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4}-.1208273{col 67}{space 3} .4299797
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .1805669{col 26}{space 2} .1528731{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.1190589{col 67}{space 3} .4801927
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{txt}{space 9}11  {c |}{col 14}{res}{space 2} .2325483{col 26}{space 2} .1834913{col 37}{space 1}    1.27{col 46}{space 3}0.205{col 54}{space 4} -.127088{col 67}{space 3} .5921847
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{txt}{space 9}13  {c |}{col 14}{res}{space 2} .2845298{col 26}{space 2} .2191594{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.1450148{col 67}{space 3} .7140744
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .3105205{col 26}{space 2} .2381918{col 37}{space 1}    1.30{col 46}{space 3}0.192{col 54}{space 4}-.1563269{col 67}{space 3} .7773679
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .3365112{col 26}{space 2} .2577898{col 37}{space 1}    1.31{col 46}{space 3}0.192{col 54}{space 4}-.1687475{col 67}{space 3} .8417699
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .3625019{col 26}{space 2} .2778336{col 37}{space 1}    1.30{col 46}{space 3}0.192{col 54}{space 4} -.182042{col 67}{space 3} .9070459
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .3884926{col 26}{space 2} .2982335{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-.1960343{col 67}{space 3} .9730196
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .4144834{col 26}{space 2} .3189211{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.2105904{col 67}{space 3} 1.039557
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .4404741{col 26}{space 2} .3398438{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4}-.2256075{col 67}{space 3} 1.106556
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{txt}{space 9}30  {c |}{col 14}{res}{space 2}  .726372{col 26}{space 2} .5780541{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.4065933{col 67}{space 3} 1.859337
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .7523627{col 26}{space 2} .6000987{col 37}{space 1}    1.25{col 46}{space 3}0.210{col 54}{space 4}-.4238092{col 67}{space 3} 1.928535
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .7783534{col 26}{space 2} .6221785{col 37}{space 1}    1.25{col 46}{space 3}0.211{col 54}{space 4}-.4410941{col 67}{space 3} 1.997801
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .8043441{col 26}{space 2} .6442899{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.4584409{col 67}{space 3} 2.067129
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .8303348{col 26}{space 2} .6664298{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.4758435{col 67}{space 3} 2.136513
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{txt}{space 9}37  {c |}{col 14}{res}{space 2}  .908307{col 26}{space 2} .7329941{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4} -.528335{col 67}{space 3} 2.344949
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .9342977{col 26}{space 2} .7552234{col 37}{space 1}    1.24{col 46}{space 3}0.216{col 54}{space 4}-.5459129{col 67}{space 3} 2.414508
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .9602884{col 26}{space 2} .7774703{col 37}{space 1}    1.24{col 46}{space 3}0.217{col 54}{space 4}-.5635254{col 67}{space 3} 2.484102
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{txt}{space 9}41  {c |}{col 14}{res}{space 2}  1.01227{col 26}{space 2} .8220114{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-.5988429{col 67}{space 3} 2.623383
{txt}{space 9}42  {c |}{col 14}{res}{space 2} 1.038261{col 26}{space 2} .8443031{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.6165431{col 67}{space 3} 2.693064
{txt}{space 9}43  {c |}{col 14}{res}{space 2} 1.064251{col 26}{space 2} .8666074{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4} -.634268{col 67}{space 3} 2.762771
{txt}{space 9}44  {c |}{col 14}{res}{space 2} 1.090242{col 26}{space 2} .8889234{col 37}{space 1}    1.23{col 46}{space 3}0.220{col 54}{space 4}-.6520158{col 67}{space 3}   2.8325
{txt}{space 9}45  {c |}{col 14}{res}{space 2} 1.116233{col 26}{space 2} .9112502{col 37}{space 1}    1.22{col 46}{space 3}0.221{col 54}{space 4}-.6697849{col 67}{space 3}  2.90225
{txt}{space 9}46  {c |}{col 14}{res}{space 2} 1.142223{col 26}{space 2} .9335871{col 37}{space 1}    1.22{col 46}{space 3}0.221{col 54}{space 4}-.6875736{col 67}{space 3}  2.97202
{txt}{space 9}47  {c |}{col 14}{res}{space 2} 1.168214{col 26}{space 2} .9559333{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4}-.7053806{col 67}{space 3} 3.041809
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 1.194205{col 26}{space 2} .9782882{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4}-.7232047{col 67}{space 3} 3.111614
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 1.220196{col 26}{space 2} 1.000651{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.7410447{col 67}{space 3} 3.181436
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 1.246186{col 26}{space 2} 1.023022{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.7588995{col 67}{space 3} 3.251272
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 1.272177{col 26}{space 2} 1.045399{col 37}{space 1}    1.22{col 46}{space 3}0.224{col 54}{space 4}-.7767683{col 67}{space 3} 3.321122
{txt}{space 9}52  {c |}{col 14}{res}{space 2} 1.298168{col 26}{space 2} 1.067784{col 37}{space 1}    1.22{col 46}{space 3}0.224{col 54}{space 4}-.7946501{col 67}{space 3} 3.390986
{txt}{space 9}53  {c |}{col 14}{res}{space 2} 1.324158{col 26}{space 2} 1.090174{col 37}{space 1}    1.21{col 46}{space 3}0.225{col 54}{space 4}-.8125442{col 67}{space 3} 3.460861
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 1.350149{col 26}{space 2} 1.112571{col 37}{space 1}    1.21{col 46}{space 3}0.225{col 54}{space 4}-.8304497{col 67}{space 3} 3.530748
{txt}{space 9}55  {c |}{col 14}{res}{space 2}  1.37614{col 26}{space 2} 1.134973{col 37}{space 1}    1.21{col 46}{space 3}0.225{col 54}{space 4}-.8483661{col 67}{space 3} 3.600646
{txt}{space 9}56  {c |}{col 14}{res}{space 2} 1.402131{col 26}{space 2}  1.15738{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4}-.8662926{col 67}{space 3} 3.670554
{txt}{space 9}57  {c |}{col 14}{res}{space 2} 1.428121{col 26}{space 2} 1.179792{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4}-.8842288{col 67}{space 3} 3.740471
{txt}{space 9}58  {c |}{col 14}{res}{space 2} 1.454112{col 26}{space 2} 1.202209{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4} -.902174{col 67}{space 3} 3.810398
{txt}{space 9}59  {c |}{col 14}{res}{space 2} 1.480103{col 26}{space 2}  1.22463{col 37}{space 1}    1.21{col 46}{space 3}0.227{col 54}{space 4}-.9201278{col 67}{space 3} 3.880333
{txt}{space 9}60  {c |}{col 14}{res}{space 2} 1.506093{col 26}{space 2} 1.247055{col 37}{space 1}    1.21{col 46}{space 3}0.227{col 54}{space 4}-.9380897{col 67}{space 3} 3.950277
{txt}{space 9}61  {c |}{col 14}{res}{space 2} 1.532084{col 26}{space 2} 1.269484{col 37}{space 1}    1.21{col 46}{space 3}0.227{col 54}{space 4}-.9560593{col 67}{space 3} 4.020228
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(1,122 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(3,872 missing values generated)

{com}. 
. twoway hist vote_share if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit  merger c.pss##i.opposition party_age norepres2 office_exp alliance_exp  || ccode: || party_id:, var  
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-268.22346}  (not concave)
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-263.74875}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-262.75022}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-262.75022}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-262.73648}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-262.73642}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-262.73642}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     3,008

{txt}{hline 16}{c TT}{hline 59}
{col 17}{c |}{col 23}No. of{col 36}Observations per Group{col 65}Integration
{col 2}Group Variable{col 17}{c |}{col 23}Groups{col 33}Minimum{col 44}Average{col 55}Maximum{col 68}Points
{hline 16}{c +}{hline 59}
{res}{col 11}ccode{txt}{col 17}{c |}{res}{col 21}      21{col 31}       45{col 42}    143.2{col 53}      266{col 71}  7
{col 8}party_id{txt}{col 17}{c |}{res}{col 21}     508{col 31}        1{col 42}      5.9{col 53}       26{col 71}  7
{txt}{hline 16}{c BT}{hline 59}

{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    23.82
{txt}Log likelihood = {res}-262.73642{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0012

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          merger{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}pss {c |}{col 18}{res}{space 2} .2530814{col 30}{space 2} .2441674{col 41}{space 1}    1.04{col 50}{space 3}0.300{col 58}{space 4}-.2254778{col 71}{space 3} .7316406
{txt}{space 16} {c |}
{space 6}opposition {c |}
{space 5}Opposition  {c |}{col 18}{res}{space 2} 1.537785{col 30}{space 2} .7063663{col 41}{space 1}    2.18{col 50}{space 3}0.029{col 58}{space 4}  .153332{col 71}{space 3} 2.922237
{txt}{space 16} {c |}
opposition#c.pss {c |}
{space 5}Opposition  {c |}{col 18}{res}{space 2}-.2277183{col 30}{space 2} .2589214{col 41}{space 1}   -0.88{col 50}{space 3}0.379{col 58}{space 4}-.7351948{col 71}{space 3} .2797583
{txt}{space 16} {c |}
{space 7}party_age {c |}{col 18}{res}{space 2}-.0111048{col 30}{space 2} .0070145{col 41}{space 1}   -1.58{col 50}{space 3}0.113{col 58}{space 4}-.0248529{col 71}{space 3} .0026433
{txt}{space 7}norepres2 {c |}{col 18}{res}{space 2} .3086995{col 30}{space 2} .3755481{col 41}{space 1}    0.82{col 50}{space 3}0.411{col 58}{space 4}-.4273613{col 71}{space 3}  1.04476
{txt}{space 6}office_exp {c |}{col 18}{res}{space 2} .2978423{col 30}{space 2} .7358915{col 41}{space 1}    0.40{col 50}{space 3}0.686{col 58}{space 4}-1.144479{col 71}{space 3} 1.740163
{txt}{space 4}alliance_exp {c |}{col 18}{res}{space 2} 1.625275{col 30}{space 2} .5376132{col 41}{space 1}    3.02{col 50}{space 3}0.003{col 58}{space 4} .5715728{col 71}{space 3} 2.678978
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-5.749313{col 30}{space 2} 1.063629{col 41}{space 1}   -5.41{col 50}{space 3}0.000{col 58}{space 4}-7.833988{col 71}{space 3}-3.664638
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  .379472{col 44} .3105324{col 58} .0763164{col 70} 1.886868
{txt}{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  .679541{col 44} 1.445873{col 58} .0104978{col 70} 43.98798
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}chi2({res}2{txt}) = {res}5.57{col 59}{txt}Prob > chi2 ={col 73}{res}0.0616

{txt}{p 0 6 4}Note: {help j_mixedlr##|_new:LR test is conservative} and provided only for reference.{p_end}

{com}. est store mod5
{txt}
{com}. 
. margins, dydx(pss) at(opposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,008

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2530814{col 26}{space 2} .2441674{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.2254778{col 67}{space 3} .7316406
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0253631{col 26}{space 2} .1168623{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.2036828{col 67}{space 3} .2544089
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: opposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\FigureA28.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5 ,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\TableA17.csv", replace
{txt}
{com}. 
. restore
{txt}
{com}. 
. **Replicate case selection (Section 5)
. 
. preserve
{txt}
{com}. 
. bys party_id elec_year: gen totelec=_N
{txt}
{com}. replace elec_month=. if totelec==1
{txt}(4,085 real changes made, 4,085 to missing)

{com}. 
. sort party_id index
{txt}
{com}. 
. keep  country party_id party_name_english elec_year elec_month index
{txt}
{com}. reshape wide elec_year elec_month, i(party_id) j(index)
{txt}(note: j = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27)

Data{col 36}long{col 43}->{col 48}wide
{hline 77}
Number of obs.                 {res}    4193   {txt}->{res}     646
{txt}Number of variables            {res}       6   {txt}->{res}      57
{txt}j variable (27 values)            {res}index   {txt}->   (dropped)
xij variables:
                              {res}elec_year   {txt}->   {res}elec_year1 elec_year2 ... elec_year27
                             elec_month   {txt}->   {res}elec_month1 elec_month2 ... elec_month27
{txt}{hline 77}

{com}. 
. order party_name, b(elec_year1)
{txt}
{com}. 
. sort country elec_year1
{txt}
{com}. order country, b(party_name)
{txt}
{com}. 
. foreach x of numlist 1/26 {c -(}
{txt}  2{com}. egen elect`x'=concat(elec_year`x' elec_month`x'),  punct("-")
{txt}  3{com}. replace elect`x'=subinstr(elect`x', "-.", "",.)
{txt}  4{com}. replace elect`x'=subinstr(elect`x', ".", "",.)
{txt}  5{com}. {c )-}
{txt}(638 real changes made)
(0 real changes made)
(627 real changes made)
(139 real changes made)
(632 real changes made)
(232 real changes made)
(634 real changes made)
(302 real changes made)
(629 real changes made)
(351 real changes made)
(636 real changes made)
(392 real changes made)
(643 real changes made)
(424 real changes made)
(644 real changes made)
(452 real changes made)
(640 real changes made)
(468 real changes made)
(641 real changes made)
(485 real changes made)
(643 real changes made)
(501 real changes made)
(643 real changes made)
(523 real changes made)
(646 real changes made)
(533 real changes made)
(643 real changes made)
(541 real changes made)
(643 real changes made)
(552 real changes made)
(646 real changes made)
(559 real changes made)
(646 real changes made)
(574 real changes made)
(646 real changes made)
(584 real changes made)
(646 real changes made)
(599 real changes made)
(646 real changes made)
(608 real changes made)
(646 real changes made)
(617 real changes made)
(646 real changes made)
(630 real changes made)
(646 real changes made)
(633 real changes made)
(646 real changes made)
(634 real changes made)
(646 real changes made)
(636 real changes made)
(646 real changes made)
(637 real changes made)

{com}. 
. egen elecs=concat(elect*),  punct(" ")
{txt}
{com}. leftalign elecs

              {txt}storage   display    value
variable name   type    format     label      variable label
{hline}
{p 0 48}{res}{bind:elecs          }{txt}{bind: str134  }{bind:{txt}%-134s    }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{txt}
{com}. 
. keep party_id country party_name_english elecs
{txt}
{com}. order country, b(party_id)
{txt}
{com}. sort country party_name
{txt}
{com}. 
. capture export excel using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\case selection.xlsx", replace firstrow(variables)
{txt}
{com}. 
. restore
{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\MvdWardt\Desktop\Replication adapt or perish\supplementary appendix.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 1 Mar 2019, 13:51:20
{txt}{.-}
{smcl}
{txt}{sf}{ul off}